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Graphs In Biomedical Image Analysis And Overlapped Cell On Tissue Dataset For Histopathology
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Book Synopsis Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology by : Seyed-Ahmad Ahmadi
Download or read book Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology written by Seyed-Ahmad Ahmadi and published by Springer Nature. This book was released on 2024 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This LNCS conference volume constitutes the proceedings of the MICCAI Workshop GRAIL 2023 and MICCAI Challenge OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023. The 9 full papers (GRAIL 2023) and 6 full papers (OCELOT 2023) included in this volume were carefully reviewed and selected from GRAIL 14 (GRAIL 2023) and 6 (OCELOT 2023) submissions. The conference GRAIL 2023 a wide set of methods and application and OCELOT 2023 focuses on the cover a wide range of methods utilizing tissue information for better cell detection, in the sense of training strategy, model architecture, and especially how to model cell-tissue relationships.
Book Synopsis Shape Analysis in Medical Image Analysis by : Shuo Li
Download or read book Shape Analysis in Medical Image Analysis written by Shuo Li and published by Springer Science & Business Media. This book was released on 2014-01-28 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains thirteen contributions from invited experts of international recognition addressing important issues in shape analysis in medical image analysis, including techniques for image segmentation, registration, modelling and classification and applications in biology, as well as in cardiac, brain, spine, chest, lung and clinical practice. This volume treats topics such as for example, anatomic and functional shape representation and matching; shape-based medical image segmentation; shape registration; statistical shape analysis; shape deformation; shape-based abnormity detection; shape tracking and longitudinal shape analysis; machine learning for shape modeling and analysis; shape-based computer-aided-diagnosis; shape-based medical navigation; benchmark and validation of shape representation, analysis and modeling algorithms. This work will be of interest to researchers, students and manufacturers in the fields of artificial intelligence, bioengineering, biomechanics, computational mechanics, computational vision, computer sciences, human motion, mathematics, medical imaging, medicine, pattern recognition and physics.
Book Synopsis Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis by : Carole H. Sudre
Download or read book Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis written by Carole H. Sudre and published by Springer Nature. This book was released on 2020-10-05 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic. For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.
Book Synopsis Biomedical Texture Analysis by : Adrien Depeursinge
Download or read book Biomedical Texture Analysis written by Adrien Depeursinge and published by Academic Press. This book was released on 2017-08-25 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in radiology and digital histopathology. Recent open-source software frameworks which enable the extraction, exploration and analysis of 2D and 3D texture-based imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students and biomedical engineers from both industry and academia who have basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find available methods and software tools for analyzing textures in medical images. - Defines biomedical texture precisely and describe how it is different from general texture information considered in computer vision - Defines the general problem to translate 2D and 3D texture patterns from biomedical images to visually and biologically relevant measurements - Describes, using intuitive concepts, how the most popular biomedical texture analysis approaches (e.g., gray-level matrices, fractals, wavelets, deep convolutional neural networks) work, what they have in common, and how they are different - Identifies the strengths, weaknesses, and current challenges of existing methods including both handcrafted and learned representations, as well as deep learning. The goal is to establish foundations for building the next generation of biomedical texture operators - Showcases applications where biomedical texture analysis has succeeded and failed - Provides details on existing, freely available texture analysis software, helping experts in medicine or biology develop and test precise research hypothesis
Book Synopsis Computational Topology for Biomedical Image and Data Analysis by : Rodrigo Rojas Moraleda
Download or read book Computational Topology for Biomedical Image and Data Analysis written by Rodrigo Rojas Moraleda and published by CRC Press. This book was released on 2019-07-12 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an accessible yet rigorous introduction to topology and homology focused on the simplicial space. It presents a compact pipeline from the foundations of topology to biomedical applications. It will be of interest to medical physicists, computer scientists, and engineers, as well as undergraduate and graduate students interested in this topic. Features: Presents a practical guide to algebraic topology as well as persistence homology Contains application examples in the field of biomedicine, including the analysis of histological images and point cloud data
Book Synopsis Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 by : Maxime Descoteaux
Download or read book Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 written by Maxime Descoteaux and published by Springer. This book was released on 2017-09-03 with total page 739 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017. The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.
Book Synopsis Deep Learning and Convolutional Neural Networks for Medical Image Computing by : Le Lu
Download or read book Deep Learning and Convolutional Neural Networks for Medical Image Computing written by Le Lu and published by Springer. This book was released on 2017-07-12 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
Book Synopsis From Ecology to Cancer Biology and Back Again by : Frederick R. Adler
Download or read book From Ecology to Cancer Biology and Back Again written by Frederick R. Adler and published by Frontiers Media SA. This book was released on 2022-03-08 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Digital Pathology by : Constantino Carlos Reyes-Aldasoro
Download or read book Digital Pathology written by Constantino Carlos Reyes-Aldasoro and published by Springer. This book was released on 2019-07-03 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th European Congress on Digital Pathology, ECDP 2019, held in Warwick, UK in April 2019. The 21 full papers presented in this volume were carefully reviewed and selected from 30 submissions. The congress theme will be Accelerating Clinical Deployment, with a focus on computational pathology and leveraging the power of big data and artificial intelligence to bridge the gaps between research, development, and clinical uptake.
Book Synopsis Quantitative Imaging in Cell Biology by :
Download or read book Quantitative Imaging in Cell Biology written by and published by Academic Press. This book was released on 2014-06-25 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume, number 123, of Methods in Cell Biology looks at methods for quantitative imaging in cell biology. It covers both theoretical and practical aspects of using optical fluorescence microscopy and image analysis techniques for quantitative applications. The introductory chapters cover fundamental concepts and techniques important for obtaining accurate and precise quantitative data from imaging systems. These chapters address how choice of microscope, fluorophores, and digital detector impact the quality of quantitative data, and include step-by-step protocols for capturing and analyzing quantitative images. Common quantitative applications, including co-localization, ratiometric imaging, and counting molecules, are covered in detail. Practical chapters cover topics critical to getting the most out of your imaging system, from microscope maintenance to creating standardized samples for measuring resolution. Later chapters cover recent advances in quantitative imaging techniques, including super-resolution and light sheet microscopy. With cutting-edge material, this comprehensive collection is intended to guide researchers for years to come. Covers sections on model systems and functional studies, imaging-based approaches and emerging studies Chapters are written by experts in the field Cutting-edge material
Book Synopsis Artificial Intelligence and Machine Learning for Digital Pathology by : Andreas Holzinger
Download or read book Artificial Intelligence and Machine Learning for Digital Pathology written by Andreas Holzinger and published by Springer Nature. This book was released on 2020-06-24 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data driven Artificial Intelligence (AI) and Machine Learning (ML) in digital pathology, radiology, and dermatology is very promising. In specific cases, for example, Deep Learning (DL), even exceeding human performance. However, in the context of medicine it is important for a human expert to verify the outcome. Consequently, there is a need for transparency and re-traceability of state-of-the-art solutions to make them usable for ethical responsible medical decision support. Moreover, big data is required for training, covering a wide spectrum of a variety of human diseases in different organ systems. These data sets must meet top-quality and regulatory criteria and must be well annotated for ML at patient-, sample-, and image-level. Here biobanks play a central and future role in providing large collections of high-quality, well-annotated samples and data. The main challenges are finding biobanks containing ‘‘fit-for-purpose’’ samples, providing quality related meta-data, gaining access to standardized medical data and annotations, and mass scanning of whole slides including efficient data management solutions.
Book Synopsis Computer Methods in Biomechanics and Biomedical Engineering by : J. Middleton
Download or read book Computer Methods in Biomechanics and Biomedical Engineering written by J. Middleton and published by CRC Press. This book was released on 1996-03-18 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: These papers are concerned with new advances and novel solutions in the areas of biofluids, image-guided surgery, tissue engineering and cardovascular mechanics, implant analysis, soft tissue mechanics, bone remodeling and motion analysis. The contents also feature a special section on dental materials, dental adhesives and orthodontic mechanics. This edition contains many examples, tables and figures, and together with the many references, provides the reader with invaluable information on the latest theoretical developments and applications.
Book Synopsis High Resolution Imaging in Microscopy and Ophthalmology by : Josef F. Bille
Download or read book High Resolution Imaging in Microscopy and Ophthalmology written by Josef F. Bille and published by Springer. This book was released on 2019-08-13 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides a comprehensive overview of the application of the newest laser and microscope/ophthalmoscope technology in the field of high resolution imaging in microscopy and ophthalmology. Starting by describing High-Resolution 3D Light Microscopy with STED and RESOLFT, the book goes on to cover retinal and anterior segment imaging and image-guided treatment and also discusses the development of adaptive optics in vision science and ophthalmology. Using an interdisciplinary approach, the reader will learn about the latest developments and most up to date technology in the field and how these translate to a medical setting. High Resolution Imaging in Microscopy and Ophthalmology – New Frontiers in Biomedical Optics has been written by leading experts in the field and offers insights on engineering, biology, and medicine, thus being a valuable addition for scientists, engineers, and clinicians with technical and medical interest who would like to understand the equipment, the applications and the medical/biological background. Lastly, this book is dedicated to the memory of Dr. Gerhard Zinser, co-founder of Heidelberg Engineering GmbH, a scientist, a husband, a brother, a colleague, and a friend.
Book Synopsis Recent Trends in Image Processing and Pattern Recognition by : K. C. Santosh
Download or read book Recent Trends in Image Processing and Pattern Recognition written by K. C. Santosh and published by Springer. This book was released on 2019-07-19 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.
Book Synopsis Text, Speech, and Dialogue by : Ivan Habernal
Download or read book Text, Speech, and Dialogue written by Ivan Habernal and published by Springer. This book was released on 2013-08-17 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th International Conference on Text, Speech and Dialogue, TSD 2013, held in Pilsen, Czech Republic, in September 2013. The 65 papers presented together with 5 invited talks were carefully reviewed and selected from 148 submissions. The main topics of this year's conference was corpora, texts and transcription, speech analysis, recognition and synthesis, and their intertwining within NL dialogue systems. The topics also included speech recognition, corpora and language resources, speech and spoken language generation, tagging, classification and parsing of text and speech, semantic processing of text and speech, integrating applications of text and speech processing, as well as automatic dialogue systems, and multimodal techniques and modelling.
Book Synopsis Flow Cytometry and Cell Sorting by : Andreas Radbruch
Download or read book Flow Cytometry and Cell Sorting written by Andreas Radbruch and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis and sorting of large numbers of cells with a fluorescence-activated cell sorter (FACS) was first achieved some 30 years ago. Since then, this technology has been rapidly developed and is used today in many laboratories. A Springer Lab Manual Review of the First Edition: "This is a most useful volume which will be a welcome addition for personal use and also for laboratories in a wide range of disciplines. Highly recommended." CYTOBIOS
Book Synopsis Pathology and Genetics of Tumours of the Urinary System and Male Genital Organs by : International Agency for Research on Cancer
Download or read book Pathology and Genetics of Tumours of the Urinary System and Male Genital Organs written by International Agency for Research on Cancer and published by IARC. This book was released on 2004 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new volume in the WHO series on histological and genetic typing of human tumors covers tumors of the kidney, the urinary system, the prostate, the testis and paratesticular tissue and the penis. Each entity is extensively discussed with information on clinicopathological, epidemiological, immunophenotypic and genetic aspects of these diseases. This book is an authoritative, concise reference, prepared by 131 authors from 22 countries. It contains more than 800 color photographs, numerous MRIs, ultrasound images, CT scans, charts and 3000 references.This book is in the series commonly referred to as the "Blue Book" series."Pathology and Genetics of Tumors of the Urinary System and Male Genital Organs"Contributors:: Dr Lauri A. Aaltonen, Dr Ferran Algaba, Dr William C. Allsbrook Jr., Dr Isabel Alvarado-Cabrero, Dr Mahul B. Amin, Dr Pedram Argani, Dr Hans Arnholdt, Dr Alberto G. Ayala, Dr Sheldon Bastacky, Dr Louis R. Begin, Dr Athanase Billis, Dr Liliane Boccon-Gibod, Dr Stephen M. Bonsib, Dr Christer Busch, Dr Paul Cairns, Dr Liang Cheng, Dr John Cheville, Dr Carlos Cordon-Cardo, Dr Antonio L. Cubilla, Dr Ivan Damjanov, Dr Charles J. Davis, Dr Angelo M. De Marzo, Dr Louis P. Dehner, Dr Brett Delahunt, Dr Gonzague De Pinieux, Dr P. Anthony Di Sant agnese, Dr Joakim Dillner, Dr John N. Eble, Dr Diana M. Eccles, Dr Lars Egevad, Dr M.N. El-Bolkainy, Dr Jonathan I. Epstein, Dr John F. Fetsch, Dr Masakuni Furusato, Dr Thomas Gasser, Dr William L. Gerald, Dr A. Geurts Van Kessel, Dr David J. Grignon, Dr Kenneth Grigor, Dr Jay L. Grosfeld, Dr Louis Guillou Dr Seife Hailemariam, Professor Ulrike Maria Hamper, Dr Arndt Hartmann, Dr Tadashi Hasegawa, Dr Axel Heidenreich, Dr Philipp U. Heitz, Dr Burkhard Helpap, Dr Riitta Herva, Professor Ferdinand Hofstadter, Professor Simon Horenblas, Dr Peter A. Humphrey, Dr Kenneth A. Iczkowski, Dr Grete Krag Jacobsen, Dr Sonny L. Johansson, Dr Michael A. Jones, Dr Peter A. Jones, Dr George W. Kaplan, Dr Charles E. Keen, Dr Kyu Rae Kim, Dr Maija Kiuru, Dr Paul Kleihues, Dr Margaret A. Knowles, Dr Gyula Kovacs, Dr Marc Ladanyi, Dr Virpi Launonen, Dr Ivo Leuschner, Dr Howard S. Levin, Dr W. Marston Linehan, Dr Leendert H.J. Looijenga, Dr Antonio Lopez-Beltran, Dr J. Carlos Manivel, Dr Guido Martignoni, Dr Alexander Marx, Dr David G. Mcleod, Dr L. Jeffrey Medeiros, Dr Maria J. Merino, Dr Helen Michael, Dr Markku Miettinen, Dr Holger Moch, Dr Henrik Moller, Dr Rodolfo Montironi, Dr F. Kash Mostofi, Dr Hartmut P.H. Neumann, Dr Manuel Nistal, Dr Lucien Nochomovitz, Dr Esther Oliva, Dr Tim D. Oliver, Dr J. Wolter Oosterhuis, Dr Attilio Orazi, Dr Chin-Chen Pan, Dr Ricardo Paniagua, Dr David M. Parham, Dr D. Max Parkin, Dr M. Constance Parkinson, Dr Christian P. Pavlovich, Dr Elizabeth J. Perlman, Dr Paola Pisani, Dr Andrew A. Renshaw, Dr Victor E. Reuter, Dr Jae Y. Ro, Professor Mark A. Rubin, Dr H. Gil Rushton, Dr Wael A. Sakr, Dr Hemamali Samaratunga, Dr Guido Sauter, Dr Paul F. Schellhammer, Dr Bernd J. Schmitz-Drager, Dr Mark Philip Schoenberg, Dr Isabell A. Sesterhenn, Dr David Sidransky, Dr Ronald Simon, Dr Leslie H. Sobin, Dr Poul H. B. Sorensen, Dr John R. Srigley, Dr Stephan Storkel, Dr Aleksander Talerman, Dr Pheroze Tamboli, Dr Puay H. Tan, Dr Bernard Tetu, Dr Kaori Togashi, Dr Lawrence True, Dr Jerzy E. Tyczynski, Dr Thomas M. Ulbright, Dr Eva Van Den Berg, Dr Theo H. Van Der Kwast, Dr Annick Vieillefond, Dr Geo Von Krogh, Dr Thomas Wheeler, Dr Paula J. Woodward, Dr Ximing J. Yang, Dr Berton Zbar"