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Author :
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)
Download or read book Multimodal Imaging of Brain Tumors written by and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kai Laukamp
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (99 download)
Download or read book Multimodal Imaging of Patients with Brain Tumors written by Kai Laukamp and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bjoern Menze
Publisher : Frontiers Media SA
ISBN 13 : 2889711706
Total Pages : 324 pages
Book Rating : 4.8/5 (897 download)
Download or read book Multimodal Brain Tumor Segmentation and Beyond written by Bjoern Menze and published by Frontiers Media SA. This book was released on 2021-08-10 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Bjoern Menze
Publisher : Springer
ISBN 13 : 3642184219
Total Pages : 235 pages
Book Rating : 4.6/5 (421 download)
Download or read book Medical Computer Vision written by Bjoern Menze and published by Springer. This book was released on 2011-02-02 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2010, held in Beijing, China, in September 2010 as a satellite event of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2010. The 10 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 38 initial submissions. The papers explore the use of modern image recognition technology in tasks such as semantic anatomy parsing, automatic segmentation and quantification, anomaly detection and categorization, data harvesting, semantic navigation and visualization, data organization and clustering, and general-purpose automatic understanding of medical images.
Author : Tommaso Scarabino
Publisher : Springer Science & Business Media
ISBN 13 : 884702370X
Total Pages : 191 pages
Book Rating : 4.8/5 (47 download)
Download or read book Imaging Gliomas After Treatment written by Tommaso Scarabino and published by Springer Science & Business Media. This book was released on 2012-03-12 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This atlas is a detailed guide to the imaging appearances of gliomas following treatment with neurosurgery, radiation therapy, and chemotherapy. Normal and pathological findings are displayed in detailed MR images that illustrate the potential modifications due to treatment. Particular emphasis is placed on characteristic appearances on the newer functional MR imaging techniques, including MR spectroscopy, diffusion-weighted imaging, and perfusion imaging. These techniques are revolutionizing neuroradiology by going beyond the demonstration of macroscopic alterations to the depiction of preceding metabolic changes at the cellular and subcellular level, thereby allowing earlier and more specific diagnosis. A key section comprising some 40 clinical cases and more than 500 illustrations offers an invaluable clinical and research tool not only for neuroradiologists but also for neurosurgeons, radiotherapists, and medical oncologists.
Author : Ruijiang Li
Publisher : CRC Press
ISBN 13 : 1351208268
Total Pages : 420 pages
Book Rating : 4.3/5 (512 download)
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
Author : Brian M. Dale
Publisher : John Wiley & Sons
ISBN 13 : 1119013038
Total Pages : 246 pages
Book Rating : 4.1/5 (19 download)
Download or read book MRI written by Brian M. Dale and published by John Wiley & Sons. This book was released on 2015-08-06 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fifth edition of the most accessible introduction to MRI principles and applications from renowned teachers in the field provides an understandable yet comprehensive update. Accessible introductory guide from renowned teachers in the field Provides a concise yet thorough introduction for MRI focusing on fundamental physics, pulse sequences, and clinical applications without presenting advanced math Takes a practical approach, including up-to-date protocols, and supports technical concepts with thorough explanations and illustrations Highlights sections that are directly relevant to radiology board exams Presents new information on the latest scan techniques and applications including 3 Tesla whole body scanners, safety issues, and the nephrotoxic effects of gadolinium-based contrast media
Author : Roberto Garcia-Navarrete
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (139 download)
Download or read book Multimodal Neuronavigation for Brain Tumor Surgery written by Roberto Garcia-Navarrete and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current neuronavigation techniques increase safety and surgeon confidence during neurosurgical procedure performance. However, its real usefulness remains in integrating multimodal information from advanced magnetic resonance imaging, as tractography (DTI), functional studies that evaluate motor and sensitive language, motor function (BOLD techniques with different paradigms), and nuclear medicine. At the operating room, the fusion of sonographic information acquired in real-time with the predefined plan increase the chance to achieve gross-total resection of primary brain tumors. Combining these different image modalities with brain mapping and motor stimulation information in selected cases is possible, increasing surgery safety. In this review, we present our experience with multimodal neuronavigation to treat brain tumors in pediatric patients.
Author : Suresh, Annamalai
Publisher : IGI Global
ISBN 13 : 1799835928
Total Pages : 294 pages
Book Rating : 4.7/5 (998 download)
Download or read book Deep Neural Networks for Multimodal Imaging and Biomedical Applications written by Suresh, Annamalai and published by IGI Global. This book was released on 2020-06-26 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of healthcare is seeing a rapid expansion of technological advancement within current medical practices. The implementation of technologies including neural networks, multi-model imaging, genetic algorithms, and soft computing are assisting in predicting and identifying diseases, diagnosing cancer, and the examination of cells. Implementing these biomedical technologies remains a challenge for hospitals worldwide, creating a need for research on the specific applications of these computational techniques. Deep Neural Networks for Multimodal Imaging and Biomedical Applications provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging. Featuring coverage on a broad range of topics such as prediction models, edge computing, and quantitative measurements, this book is ideally designed for researchers, academicians, physicians, IT consultants, medical software developers, practitioners, policymakers, scholars, and students seeking current research on biomedical advancements and developing computational methods in healthcare.
Author : Sergey Makarov
Publisher : Springer Nature
ISBN 13 : 3030212939
Total Pages : 398 pages
Book Rating : 4.0/5 (32 download)
Download or read book Brain and Human Body Modeling written by Sergey Makarov and published by Springer Nature. This book was released on 2019-08-27 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book describes modern applications of computational human modeling with specific emphasis in the areas of neurology and neuroelectromagnetics, depression and cancer treatments, radio-frequency studies and wireless communications. Special consideration is also given to the use of human modeling to the computational assessment of relevant regulatory and safety requirements. Readers working on applications that may expose human subjects to electromagnetic radiation will benefit from this book’s coverage of the latest developments in computational modelling and human phantom development to assess a given technology’s safety and efficacy in a timely manner. Describes construction and application of computational human models including anatomically detailed and subject specific models; Explains new practices in computational human modeling for neuroelectromagnetics, electromagnetic safety, and exposure evaluations; Includes a survey of modern applications for which computational human models are critical; Describes cellular-level interactions between the human body and electromagnetic fields.
Author : Hassan Mohy-ud-Din
Publisher : Springer Nature
ISBN 13 : 3030401243
Total Pages : 100 pages
Book Rating : 4.0/5 (34 download)
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.
Author : Edgar Anselmo Rios Piedra
Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.:/5 (14 download)
Download or read book Development of Segmentation Variability Maps to Improve Brain Tumor Quantitative Assessment Using Multimodal Magnetic Resonance Imaging written by Edgar Anselmo Rios Piedra and published by . This book was released on 2018 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Glioblastoma multiforme (GBM) is the most common type of primary brain tumor, characterized by a short survival period after diagnosis. As with most other cancers, treatment and follow-up decisions are made largely based on observed changes in tumor size and appearance during imaging studies. The quantification of tumor measurements is problematic due to the systematic variability introduced while attempting to quantify tumor characteristics in uncertain regions. This issue is primarily observed around the tumor boundary, where it is often hard to differentiate whether a given region is part of the tumor (e.g., active, necrotic, edema, etc.) or part of normal brain tissue (e.g., grey matter, white matter). This problem has significant implications because this uncertainty can affect ensuing quantitative/computational analyses. Current approaches for the segmentation of glioblastoma multiforme still face multiple challenges, often failing to consistently identify the tumor region so as to be clinically useful and reliable; moreover, these different techniques tend to produce results that differ significantly from each other (i.e., measurement variability). To address these problems, this dissertation describes a framework to help characterize factors that influence variability in brain tumor boundaries and to optimize their performance through methods that calculate an estimate of expected variability arising from different automated segmentation approaches, setting the bases for the development of better knowledge-based methods. Additionally, a novel automated method was developed to generate more robust brain tumor segmentations by taking into consideration the inherent variability of brain tumors and statistical priors that provide context-relevant information about the different brain and tumor tissues. Altogether, this dissertation project provides further understanding of the sources of variability that arise in GBM across different image analysis methodologies and the integration of these insights into the development of tumor variability maps that can provide a better characterization of tumors.
Author : Siva Koteswararao Chinnam
Publisher :
ISBN 13 : 9781835800041
Total Pages : 0 pages
Book Rating : 4.8/5 ( download)
Download or read book Multimodal Attention Cascaded U-Net for 3D Brain Tumor Segmentation written by Siva Koteswararao Chinnam and published by . This book was released on 2023-10-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Felix Raschke
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (892 download)
Download or read book Tissue Type Analysis of Brain Tumours Using Multimodal MRI. written by Felix Raschke and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jyotismita Chaki
Publisher : Academic Press
ISBN 13 : 0323983952
Total Pages : 260 pages
Book Rating : 4.3/5 (239 download)
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
Author : Alessandro Crimi
Publisher : Springer
ISBN 13 : 3319752383
Total Pages : 524 pages
Book Rating : 4.3/5 (197 download)
Download or read book Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries written by Alessandro Crimi and published by Springer. This book was released on 2018-02-16 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017. The 40 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; and ischemic stroke lesion image segmentation.
Author : Rohit Tanwar
Publisher : John Wiley & Sons
ISBN 13 : 1119768861
Total Pages : 388 pages
Book Rating : 4.1/5 (197 download)
Download or read book Advanced Healthcare Systems written by Rohit Tanwar and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: ADVANCED HEALTHCARE SYSTEMS This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generate—information such as temperature, pressure, humidity, air quality, vibration, and sound—that can be really helpful to rapid diagnosis. Audience This book will be of interest to researchers in artificial intelligence, the Internet of Things, machine learning as well as information technologists working in the healthcare sector.
