Medical Image Analysis For The Clinic A Grand Challenge

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Medical Image Analysis for the Clinic - A Grand Challenge

Author : Bram van Ginneken
Publisher :
ISBN 13 : 9781453759394
Total Pages : 330 pages
Book Rating : 4.7/5 (593 download)

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Book Synopsis Medical Image Analysis for the Clinic - A Grand Challenge by : Bram van Ginneken

Download or read book Medical Image Analysis for the Clinic - A Grand Challenge written by Bram van Ginneken and published by . This book was released on 2010-08-27 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of Medical Image Analysis for the Clinic - A Grand Challenge, a workshop that was part of MICCAI 2010, the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, and was held in Beijing, China, on September 24, 2010. This is the fourth edition of the Grand Challenges in Medical Image Analysis workshops held during MICCAI since 2007. The proceedings contain papers on three challenges: EMPIRE10 (Evaluation of Methods for Pulmonary Image Registration 2010, http://empire10.isi.uu.nl); SKI10 (Segmentation of Knee Images 2010, http://www.ski10.org); Head & Neck Auto-segmentation Challenge 2010: Segmentation of the Parotid Glands (http://www.grand-challenge2010.ca/)

Biomedical Image Registration

Author : Benoit Dawant
Publisher : Springer
ISBN 13 : 364231340X
Total Pages : 308 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Biomedical Image Registration by : Benoit Dawant

Download or read book Biomedical Image Registration written by Benoit Dawant and published by Springer. This book was released on 2012-06-24 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Biomedical Image Registration, WBIR 2012, held in Nashville, Tennessee, USA, in July 2012. The 20 full papers and 11 poster papers included in this volume were carefully reviewed and selected from 44 submitted papers. They full papers are organized in the following topical sections: multiple image sets; brain; non-rigid anatomy; and frameworks and similarity measures.

Computational Intelligence in Biomedical Imaging

Author : Kenji Suzuki
Publisher : Springer Science & Business Media
ISBN 13 : 1461472458
Total Pages : 410 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Computational Intelligence in Biomedical Imaging by : Kenji Suzuki

Download or read book Computational Intelligence in Biomedical Imaging written by Kenji Suzuki and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence in Biomedical Imaging is a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy.

Auto-Segmentation for Radiation Oncology

Author : Jinzhong Yang
Publisher : CRC Press
ISBN 13 : 1000376303
Total Pages : 275 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Auto-Segmentation for Radiation Oncology by : Jinzhong Yang

Download or read book Auto-Segmentation for Radiation Oncology written by Jinzhong Yang and published by CRC Press. This book was released on 2021-04-18 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for auto-delineation of organs-of-risk for thoracic radiation treatment planning. Containing the latest, cutting edge technologies and treatments, it explores deep-learning methods, multi-atlas-based methods, and model-based methods that are currently being developed for clinical radiation oncology applications. Each chapter focuses on a specific aspect of algorithm choices and discusses the impact of the different algorithm modules to the algorithm performance as well as the implementation issues for clinical use (including data curation challenges and auto-contour evaluations). This book is an ideal guide for radiation oncology centers looking to learn more about potential auto-segmentation tools for their clinic in addition to medical physicists commissioning auto-segmentation for clinical use. Features: Up-to-date with the latest technologies in the field Edited by leading authorities in the area, with chapter contributions from subject area specialists All approaches presented in this book are validated using a standard benchmark dataset established by the Thoracic Auto-segmentation Challenge held as an event of the 2017 Annual Meeting of American Association of Physicists in Medicine

Lung Imaging and Computer Aided Diagnosis

Author : Ayman El-Baz
Publisher : CRC Press
ISBN 13 : 1439845581
Total Pages : 496 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Lung Imaging and Computer Aided Diagnosis by : Ayman El-Baz

Download or read book Lung Imaging and Computer Aided Diagnosis written by Ayman El-Baz and published by CRC Press. This book was released on 2016-04-19 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lung cancer remains the leading cause of cancer-related deaths worldwide. Early diagnosis can improve the effectiveness of treatment and increase a patient’s chances of survival. Thus, there is an urgent need for new technology to diagnose small, malignant lung nodules early as well as large nodules located away from large diameter airways because the current technology—namely, needle biopsy and bronchoscopy—fail to diagnose those cases. However, the analysis of small, indeterminate lung masses is fraught with many technical difficulties. Often patients must be followed for years with serial CT scans in order to establish a diagnosis, but inter-scan variability, slice selection artifacts, differences in degree of inspiration, and scan angles can make comparing serial scans unreliable. Lung Imaging and Computer Aided Diagnosis brings together researchers in pulmonary image analysis to present state-of-the-art image processing techniques for detecting and diagnosing lung cancer at an early stage. The book addresses variables and discrepancies in scans and proposes ways of evaluating small lung masses more consistently to allow for more accurate measurement of growth rates and analysis of shape and appearance of the detected lung nodules. Dealing with all aspects of image analysis of the data, this book examines: Lung segmentation Nodule segmentation Vessels segmentation Airways segmentation Lung registration Detection of lung nodules Diagnosis of detected lung nodules Shape and appearance analysis of lung nodules Contributors also explore the effective use of these methodologies for diagnosis and therapy in clinical applications. Arguably the first book of its kind to address and evaluate image-based diagnostic approaches for the early diagnosis of lung cancer, Lung Imaging and Computer Aided Diagnosis constitutes a valuable resource for biomedical engineers, researchers, and clinicians in lung disease imaging.

Intelligent Analysis of Biomedical Imaging Data for Precision Medicine

Author : Kuanquan Wang
Publisher : Frontiers Media SA
ISBN 13 : 2832504388
Total Pages : 217 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Intelligent Analysis of Biomedical Imaging Data for Precision Medicine by : Kuanquan Wang

Download or read book Intelligent Analysis of Biomedical Imaging Data for Precision Medicine written by Kuanquan Wang and published by Frontiers Media SA. This book was released on 2022-11-09 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Analysis for Moving Organ, Breast, and Thoracic Images

Author : Danail Stoyanov
Publisher : Springer
ISBN 13 : 3030009467
Total Pages : 350 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Image Analysis for Moving Organ, Breast, and Thoracic Images by : Danail Stoyanov

Download or read book Image Analysis for Moving Organ, Breast, and Thoracic Images written by Danail Stoyanov and published by Springer. This book was released on 2018-09-11 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the Third International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2018, the Fourth International Workshop on Breast Image Analysis, BIA 2018, and the First International Workshop on Thoracic Image Analysis, TIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 5 full papers (out of 10 submissions) presented at RAMBO, the 9 full papers (out of 18 submissions) presented at BIA, and the 20 full papers (out of 21 submissions) presented at TIA were carefully reviewed and selected. The RAMBO papers cover aspects of medical imaging where motion plays a role in the image formation or analysis. The BIA papers deal with topics such as computer-aided detection and diagnosis of breast cancer, quantitative analysis of breast imaging modalities, and large scale breast image screening and analysis. The TIA papers cover aspects of image analysis research for lung and cardiac diseases including segmentation, registration, quantification, modeling of the image acquisition process, visualization, validation, statistical modeling, biophysical lung modeling (computational anatomy), deep learning and novel applications.

Machine Learning in Medical Imaging

Author : Guorong Wu
Publisher : Springer
ISBN 13 : 3319022679
Total Pages : 262 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Machine Learning in Medical Imaging by : Guorong Wu

Download or read book Machine Learning in Medical Imaging written by Guorong Wu and published by Springer. This book was released on 2013-09-18 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

4D Modeling and Estimation of Respiratory Motion for Radiation Therapy

Author : Jan Ehrhardt
Publisher : Springer Science & Business Media
ISBN 13 : 3642364411
Total Pages : 352 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy by : Jan Ehrhardt

Download or read book 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy written by Jan Ehrhardt and published by Springer Science & Business Media. This book was released on 2013-05-30 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Respiratory motion causes an important uncertainty in radiotherapy planning of the thorax and upper abdomen. The main objective of radiation therapy is to eradicate or shrink tumor cells without damaging the surrounding tissue by delivering a high radiation dose to the tumor region and a dose as low as possible to healthy organ tissues. Meeting this demand remains a challenge especially in case of lung tumors due to breathing-induced tumor and organ motion where motion amplitudes can measure up to several centimeters. Therefore, modeling of respiratory motion has become increasingly important in radiation therapy. With 4D imaging techniques spatiotemporal image sequences can be acquired to investigate dynamic processes in the patient’s body. Furthermore, image registration enables the estimation of the breathing-induced motion and the description of the temporal change in position and shape of the structures of interest by establishing the correspondence between images acquired at different phases of the breathing cycle. In radiation therapy these motion estimations are used to define accurate treatment margins, e.g. to calculate dose distributions and to develop prediction models for gated or robotic radiotherapy. In this book, the increasing role of image registration and motion estimation algorithms for the interpretation of complex 4D medical image sequences is illustrated. Different 4D CT image acquisition techniques and conceptually different motion estimation algorithms are presented. The clinical relevance is demonstrated by means of example applications which are related to the radiation therapy of thoracic and abdominal tumors. The state of the art and perspectives are shown by an insight into the current field of research. The book is addressed to biomedical engineers, medical physicists, researchers and physicians working in the fields of medical image analysis, radiology and radiation therapy.

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013

Author : Kensaku Mori
Publisher : Springer
ISBN 13 : 3642407609
Total Pages : 674 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013 by : Kensaku Mori

Download or read book Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2013 written by Kensaku Mori and published by Springer. This book was released on 2013-09-20 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 81 papers included in the third volume have been organized in the following topical sections: image reconstruction and motion modeling; machine learning in medical image computing; imaging, reconstruction, and enhancement; segmentation; physiological modeling, simulation, and planning; intraoperative guidance and robotics; microscope, optical imaging, and histology; diffusion MRI; brain segmentation and atlases; and functional MRI and neuroscience applications.

Patch-Based Techniques in Medical Imaging

Author : Guorong Wu
Publisher : Springer
ISBN 13 : 331947118X
Total Pages : 141 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Patch-Based Techniques in Medical Imaging by : Guorong Wu

Download or read book Patch-Based Techniques in Medical Imaging written by Guorong Wu and published by Springer. This book was released on 2016-10-10 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2016, which was held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 17 regular papers presented in this volume were carefully reviewed and selected from 25 submissions. The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image registration, abnormality detection, and image synthesis.

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis

Author : Marc Aubreville
Publisher : Springer Nature
ISBN 13 : 303097281X
Total Pages : 201 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis by : Marc Aubreville

Download or read book Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis written by Marc Aubreville and published by Springer Nature. This book was released on 2022-03-01 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic. The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2021), Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and Learn2Reg (L2R 2021). The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.

Handbook of Medical Image Computing and Computer Assisted Intervention

Author : S. Kevin Zhou
Publisher : Academic Press
ISBN 13 : 0128165863
Total Pages : 1074 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Handbook of Medical Image Computing and Computer Assisted Intervention by : S. Kevin Zhou

Download or read book Handbook of Medical Image Computing and Computer Assisted Intervention written by S. Kevin Zhou and published by Academic Press. This book was released on 2019-10-18 with total page 1074 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention

Deformable Meshes for Medical Image Segmentation

Author : Dagmar Kainmueller
Publisher : Springer
ISBN 13 : 3658070153
Total Pages : 184 pages
Book Rating : 4.6/5 (58 download)

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Book Synopsis Deformable Meshes for Medical Image Segmentation by : Dagmar Kainmueller

Download or read book Deformable Meshes for Medical Image Segmentation written by Dagmar Kainmueller and published by Springer. This book was released on 2014-08-18 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Segmentation of anatomical structures in medical image data is an essential task in clinical practice. Dagmar Kainmueller introduces methods for accurate fully automatic segmentation of anatomical structures in 3D medical image data. The author’s core methodological contribution is a novel deformation model that overcomes limitations of state-of-the-art Deformable Surface approaches, hence allowing for accurate segmentation of tip- and ridge-shaped features of anatomical structures. As for practical contributions, she proposes application-specific segmentation pipelines for a range of anatomical structures, together with thorough evaluations of segmentation accuracy on clinical image data. As compared to related work, these fully automatic pipelines allow for highly accurate segmentation of benchmark image data.

Graph Learning in Medical Imaging

Author : Daoqiang Zhang
Publisher : Springer Nature
ISBN 13 : 3030358178
Total Pages : 182 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Graph Learning in Medical Imaging by : Daoqiang Zhang

Download or read book Graph Learning in Medical Imaging written by Daoqiang Zhang and published by Springer Nature. This book was released on 2019-11-13 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Graph Learning in Medical Imaging, GLMI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019. The 21 full papers presented were carefully reviewed and selected from 42 submissions. The papers focus on major trends and challenges of graph learning in medical imaging and present original work aimed to identify new cutting-edge techniques and their applications in medical imaging.

Deep Learning and Convolutional Neural Networks for Medical Image Computing

Author : Le Lu
Publisher : Springer
ISBN 13 : 331942999X
Total Pages : 326 pages
Book Rating : 4.3/5 (194 download)

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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 326 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.

Image and Video Technology

Author : Reinhard Klette
Publisher : Springer
ISBN 13 : 3642538428
Total Pages : 518 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Image and Video Technology by : Reinhard Klette

Download or read book Image and Video Technology written by Reinhard Klette and published by Springer. This book was released on 2014-01-31 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 6th Pacific Rim Symposium on Image and Video Technology, PSIVT 2013, held in Guanajuato, México in October/November 2013. The total of 43 revised papers was carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on image/video processing and analysis, image/video retrieval and scene understanding, applications of image and video technology, biomedical image processing and analysis, biometrics and image forensics, computational photography and arts, computer and robot vision, pattern recognition and video surveillance.