Non Invasive Profiling Of Molecular Markers In Brain Gliomas Using Deep Learning And Magnetic Resonance Images

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Radiomics and Radiogenomics

Author : Ruijiang Li
Publisher : CRC Press
ISBN 13 : 1351208268
Total Pages : 420 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Radiomics and Radiogenomics by : Ruijiang Li

Download or read book Radiomics and Radiogenomics written by Ruijiang Li and published by CRC Press. This book was released on 2019-07-09 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation

Brain Tumor MRI Image Segmentation Using Deep Learning Techniques

Author : Jyotismita Chaki
Publisher : Academic Press
ISBN 13 : 0323983952
Total Pages : 260 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Brain Tumor MRI Image Segmentation Using Deep Learning Techniques by : Jyotismita Chaki

Download or read book Brain Tumor MRI Image Segmentation Using Deep Learning Techniques written by Jyotismita Chaki and published by Academic Press. This book was released on 2021-11-27 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain Tumor MRI Image Segmentation Using Deep Learning Techniques offers a description of deep learning approaches used for the segmentation of brain tumors. The book demonstrates core concepts of deep learning algorithms by using diagrams, data tables and examples to illustrate brain tumor segmentation. After introducing basic concepts of deep learning-based brain tumor segmentation, sections cover techniques for modeling, segmentation and properties. A focus is placed on the application of different types of convolutional neural networks, like single path, multi path, fully convolutional network, cascade convolutional neural networks, Long Short-Term Memory - Recurrent Neural Network and Gated Recurrent Units, and more. The book also highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in brain tumor segmentation. - Provides readers with an understanding of deep learning-based approaches in the field of brain tumor segmentation, including preprocessing techniques - Integrates recent advancements in the field, including the transformation of low-resolution brain tumor images into super-resolution images using deep learning-based methods, single path Convolutional Neural Network based brain tumor segmentation, and much more - Includes coverage of Long Short-Term Memory (LSTM) based Recurrent Neural Network (RNN), Gated Recurrent Units (GRU) based Recurrent Neural Network (RNN), Generative Adversarial Networks (GAN), Auto Encoder based brain tumor segmentation, and Ensemble deep learning Model based brain tumor segmentation - Covers research Issues and the future of deep learning-based brain tumor segmentation

Oncology of CNS Tumors

Author : Jörg-Christian Tonn
Publisher : Springer Science & Business Media
ISBN 13 : 3642028748
Total Pages : 776 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Oncology of CNS Tumors by : Jörg-Christian Tonn

Download or read book Oncology of CNS Tumors written by Jörg-Christian Tonn and published by Springer Science & Business Media. This book was released on 2010-02-03 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge about the etiology and diagnosis as well as treatment concepts of neu- oncologic diseases is rapidly growing. This turnover of knowledge makes it dif? cult for the physician engaged in the treatment to keep up to date with current therapies. This book sets out to close the gap and pursues several innovative concepts. As a comprehensive text on neuro-oncology, its chapters are interconnected, but at the same time some chapters or subdivisions are so thoroughly assembled that the whole volume gives the impression of several books combined into one. Neuropathology is treated in an extensive and clearly structured section. The int- ested reader ? nds for each tumor entity the latest well-referenced consensus rega- ing histologic and molecular pathology. Through this “book-in-the-book” concept, information on neuropathology is readily at hand in a concise form and without ov- loading the single chapters. Pediatric neuro-oncology differs in many entities from tumors in adult patients; also, certain tumors of the CNS are typically or mainly found only in the child. Therefore, pediatric neuro-oncology was granted its own, book-like section. Tumor entities that are treated differently in children and adults are included both in the pediatric neuro-oncology section and in the general section. Entities that typically occur only in the child and adolescent are found in the pediatric section in order to avoid redundancies.

Cerebrovascular Reactivity

Author : Jean Chen
Publisher : Humana
ISBN 13 : 9781071617625
Total Pages : 218 pages
Book Rating : 4.6/5 (176 download)

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Book Synopsis Cerebrovascular Reactivity by : Jean Chen

Download or read book Cerebrovascular Reactivity written by Jean Chen and published by Humana. This book was released on 2021-11-06 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a comprehensive overview of the methodology, physiology, and contemporary and novel applications of cerebrovascular reactivity (CVR) measurements. The chapters in this book cover topics such as an introduction of the neurophysiology, neuroimaging, and clinical methods for CVR measurement; the use of CVR methods in the study of aging, cerebrovascular dysfunction, dementia, and brain tumors; and recommendations for measurement protocols and future applications in clinical translation. In Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your research center and clinical investigation. Thorough and comprehensive, Cerebrovascular Reactivity: Methodological Advances and Clinical Applications is a valuable tool that provides researchers in neuroscience and neurology with the latest resources on the measurement, interpretation, and application of CVR measurement.

Deep Learning for Cancer Diagnosis

Author : Utku Kose
Publisher : Springer Nature
ISBN 13 : 9811563217
Total Pages : 311 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Deep Learning for Cancer Diagnosis by : Utku Kose

Download or read book Deep Learning for Cancer Diagnosis written by Utku Kose and published by Springer Nature. This book was released on 2020-09-12 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.

Brain Tumor Imaging

Author : Elke Hattingen
Publisher : Springer
ISBN 13 : 3642450407
Total Pages : 166 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Brain Tumor Imaging by : Elke Hattingen

Download or read book Brain Tumor Imaging written by Elke Hattingen and published by Springer. This book was released on 2015-09-02 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the basics, the challenges and the limitations of state of the art brain tumor imaging and examines in detail its impact on diagnosis and treatment monitoring. It opens with an introduction to the clinically relevant physical principles of brain imaging. Since MR methodology plays a crucial role in brain imaging, the fundamental aspects of MR spectroscopy, MR perfusion and diffusion-weighted MR methods are described, focusing on the specific demands of brain tumor imaging. The potential and the limits of new imaging methodology are carefully addressed and compared to conventional MR imaging. In the main part of the book, the most important imaging criteria for the differential diagnosis of solid and necrotic brain tumors are delineated and illustrated in examples. A closing section is devoted to the use of MR methods for the monitoring of brain tumor therapy. The book is intended for radiologists, neurologists, neurosurgeons, oncologists and other scientists in the biomedical field with an interest in neuro-oncology.

Glioma Imaging

Author : Whitney B. Pope
Publisher : Springer Nature
ISBN 13 : 3030273598
Total Pages : 289 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Glioma Imaging by : Whitney B. Pope

Download or read book Glioma Imaging written by Whitney B. Pope and published by Springer Nature. This book was released on 2019-11-11 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers physiologic, metabolic and molecular imaging for gliomas. Gliomas are the most common primary brain tumors. Imaging is critical for glioma management because of its ability to noninvasively define the anatomic location and extent of disease. While conventional MRI is used to guide current treatments, multiple studies suggest molecular features of gliomas may be identified with noninvasive imaging, including physiologic MRI and amino acid positron emission tomography (PET). These advanced imaging techniques have the promise to help elucidate underlying tumor biology and provide important information that could be integrated into routine clinical practice. The text outlines current clinical practice including common scenarios in which imaging interpretation impacts patient management. Gaps in knowledge and potential areas of advancement based on the application of more experimental imaging techniques will be discussed. In reviewing this book, readers will learn: current standard imaging methodologies used in clinical practice for patients undergoing treatment for glioma and the implications of emerging treatment modalities including immunotherapy the theoretical basis for advanced imaging techniques including diffusion and perfusion MRI, MR spectroscopy, CEST and amino acid PET the relationship between imaging and molecular/genomic glioma features incorporated in the WHO 2016 classification update and the potential application of machine learning about the recently adopted and FDA approved standard brain tumor protocol for multicenter drug trials of the gaps in knowledge that impede optimal patient management and the cutting edge imaging techniques that could address these deficits

Radiomics and Radiogenomics in Neuro-oncology

Author : Hassan Mohy-ud-Din
Publisher : Springer Nature
ISBN 13 : 3030401243
Total Pages : 100 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Radiomics and Radiogenomics in Neuro-oncology by : Hassan Mohy-ud-Din

Download or read book Radiomics and Radiogenomics in Neuro-oncology written by Hassan Mohy-ud-Din and published by Springer Nature. This book was released on 2020-02-24 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.

Advanced Imaging and Mapping in Brain Tumors

Author : Nico Sollmann
Publisher : Frontiers Media SA
ISBN 13 : 2832508359
Total Pages : 626 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advanced Imaging and Mapping in Brain Tumors by : Nico Sollmann

Download or read book Advanced Imaging and Mapping in Brain Tumors written by Nico Sollmann and published by Frontiers Media SA. This book was released on 2022-12-02 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Networks and Statistical Learning

Author : Ke-Lin Du
Publisher : Springer Science & Business Media
ISBN 13 : 1447155718
Total Pages : 834 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Neural Networks and Statistical Learning by : Ke-Lin Du

Download or read book Neural Networks and Statistical Learning written by Ke-Lin Du and published by Springer Science & Business Media. This book was released on 2013-12-09 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.

Artificial Intelligence in Medical Imaging

Author : Erik R. Ranschaert
Publisher : Springer
ISBN 13 : 3319948784
Total Pages : 369 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Advanced Neuroimaging of Brain Metastases

Author : Behroze Adi Vachha
Publisher : Frontiers Media SA
ISBN 13 : 2889667448
Total Pages : 81 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Advanced Neuroimaging of Brain Metastases by : Behroze Adi Vachha

Download or read book Advanced Neuroimaging of Brain Metastases written by Behroze Adi Vachha and published by Frontiers Media SA. This book was released on 2021-05-05 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamentals of Radiation Oncology

Author : Hasan Murshed
Publisher : Elsevier
ISBN 13 : 0443222096
Total Pages : 570 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Fundamentals of Radiation Oncology by : Hasan Murshed

Download or read book Fundamentals of Radiation Oncology written by Hasan Murshed and published by Elsevier. This book was released on 2024-06-20 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Radiation Oncology: Physical, Biological, and Clinical Aspects, Fourth Edition, is written by a team of renowned experts. This book is a must-have resource for anyone practicing radiation oncology. From basic principles to more-advanced planning and delivery of radiation therapy to treat cancer, this book is a go-to resource for mastering the art and science of radiation oncology. - Recent advances in SRS, SBRT, proton therapy, an immunotherapy - New chapters on adaptive radiotherapy, and artificial intelligence in radiation therapy - IMRT and IGRT techniques are covered in depth in all clinical chapters - Latest landmark studies provide evidence-based rationale for recommended treatments - Radiation treatment toxicity and its management

Classification in BioApps

Author : Nilanjan Dey
Publisher : Springer
ISBN 13 : 3319659812
Total Pages : 453 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Classification in BioApps by : Nilanjan Dey

Download or read book Classification in BioApps written by Nilanjan Dey and published by Springer. This book was released on 2017-11-10 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges. Further, the book highlights recent scientific research on artificial neural networks in biomedical applications, addressing the fundamentals of artificial neural networks, support vector machines and other advanced classifiers, as well as their design and optimization. In addition to exploring recent endeavours in the multidisciplinary domain of sensors, the book introduces readers to basic definitions and features, signal filters and processing, biomedical sensors and automation of biomeasurement systems. The target audience includes researchers and students at engineering and medical schools, researchers and engineers in the biomedical industry, medical doctors and healthcare professionals.

Intravoxel Incoherent Motion (IVIM) MRI

Author : Denis Le Bihan
Publisher : CRC Press
ISBN 13 : 0429763484
Total Pages : 651 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis Intravoxel Incoherent Motion (IVIM) MRI by : Denis Le Bihan

Download or read book Intravoxel Incoherent Motion (IVIM) MRI written by Denis Le Bihan and published by CRC Press. This book was released on 2018-11-05 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intravoxel incoherent motion (IVIM) refers to translational movements which within a given voxel and during the measurement time present a distribution of speeds in orientation and/or amplitude. The concept was introduced in 1986 together with the foundation of diffusion MRI because it had been realized that flow of blood in capillaries (perfusion) would mimic a diffusion process and impact diffusion MRI measurements. IVIM-based perfusion MRI, which does not require injection of any tracer or contrast agent, has been first investigated in the brain, but is now experiencing a remarkable revival for applications throughout the body, especially for oncologic applications, from diagnosis to treatment monitoring. This book addresses a number of highly topical aspects of the field from leading authorities, introducing the concepts behind IVIM MRI, outlining related methodological issues, and summarizing its current usage and potential for clinical applications. It also presents future research directions, both in terms of methodological development and clinical application fields, extending to new, non-perfusion applications of IVIM MRI, such as virtual MR elastography.

Independent Component Analysis

Author : James V. Stone
Publisher : MIT Press
ISBN 13 : 9780262693158
Total Pages : 224 pages
Book Rating : 4.6/5 (931 download)

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Book Synopsis Independent Component Analysis by : James V. Stone

Download or read book Independent Component Analysis written by James V. Stone and published by MIT Press. This book was released on 2004 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: A tutorial-style introduction to a class of methods for extracting independent signals from a mixture of signals originating from different physical sources; includes MatLab computer code examples. Independent component analysis (ICA) is becoming an increasingly important tool for analyzing large data sets. In essence, ICA separates an observed set of signal mixtures into a set of statistically independent component signals, or source signals. In so doing, this powerful method can extract the relatively small amount of useful information typically found in large data sets. The applications for ICA range from speech processing, brain imaging, and electrical brain signals to telecommunications and stock predictions. In Independent Component Analysis, Jim Stone presents the essentials of ICA and related techniques (projection pursuit and complexity pursuit) in a tutorial style, using intuitive examples described in simple geometric terms. The treatment fills the need for a basic primer on ICA that can be used by readers of varying levels of mathematical sophistication, including engineers, cognitive scientists, and neuroscientists who need to know the essentials of this evolving method. An overview establishes the strategy implicit in ICA in terms of its essentially physical underpinnings and describes how ICA is based on the key observations that different physical processes generate outputs that are statistically independent of each other. The book then describes what Stone calls "the mathematical nuts and bolts" of how ICA works. Presenting only essential mathematical proofs, Stone guides the reader through an exploration of the fundamental characteristics of ICA. Topics covered include the geometry of mixing and unmixing; methods for blind source separation; and applications of ICA, including voice mixtures, EEG, fMRI, and fetal heart monitoring. The appendixes provide a vector matrix tutorial, plus basic demonstration computer code that allows the reader to see how each mathematical method described in the text translates into working Matlab computer code.

Angiogenesis Assays

Author : Carolyn A. Staton
Publisher : John Wiley & Sons
ISBN 13 : 047002934X
Total Pages : 410 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Angiogenesis Assays by : Carolyn A. Staton

Download or read book Angiogenesis Assays written by Carolyn A. Staton and published by John Wiley & Sons. This book was released on 2007-01-11 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Angiogenesis, the development of new blood vessels from the existing vasculature, is essential for physiological growth and over 18,000 research articles have been published describing the role of angiogenesis in over 70 different diseases, including cancer, diabetic retinopathy, rheumatoid arthritis and psoriasis. One of the most important technical challenges in such studies has been finding suitable methods for assessing the effects of regulators of eh angiogenic response. While increasing numbers of angiogenesis assays are being described both in vitro and in vivo, it is often still necessary to use a combination of assays to identify the cellular and molecular events in angiogenesis and the full range of effects of a given test protein. Although the endothelial cell - its migration, proliferation, differentiation and structural rearrangement - is central to the angiogenic process, it is not the only cell type involved. the supporting cells, the extracellular matrix and the circulating blood with its cellular and humoral components also contribute. In this book, experts in the use of a diverse range of assays outline key components of these and give a critical appraisal of their strengths and weaknesses. Examples include assays for the proliferation, migration and differentiation of endothelial cells in vitro, vessel outgrowth from organ cultures, assessment of endothelial and mural cell interactions, and such in vivo assays as the chick chorioallantoic membrane, zebrafish, corneal, chamber and tumour angiogenesis models. These are followed by a critical analysis of the biological end-points currently being used in clinical trials to assess the clinical efficacy of anti-angiogenic drugs, which leads into a discussion of the direction future studies should take. This valuable book is of interest to research scientists currently working on angiogenesis in both the academic community and in the biotechnology and pharmaceutical industries. Relevant disciplines include cell and molecular biology, oncology, cardiovascular research, biotechnology, pharmacology, pathology and physiology.