Image Analysis For Moving Organ Breast And Thoracic Images

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Image Analysis for Moving Organ, Breast, and Thoracic Images

Danail Stoyanov,Zeike Taylor,Bernhard Kainz,Gabriel Maicas,Reinhard R. Beichel,Anne Martel,Lena Maier-Hein,Kanwal Bhatia,Tom Vercauteren,Ozan Oktay,Gustavo Carneiro,Andrew P. Bradley,Jacinto Nascimento,Hang Min,Matthew S. Brown,Colin Jacobs,Bianca Lassen-Schmidt,Kensaku Mori,Jens Petersen,Raúl San José Estépar,Alexander Schmidt-Richberg,Catarina Veiga
Image Analysis for Moving Organ Breast and Thoracic Images Book PDF

Author : Danail Stoyanov,Zeike Taylor,Bernhard Kainz,Gabriel Maicas,Reinhard R. Beichel,Anne Martel,Lena Maier-Hein,Kanwal Bhatia,Tom Vercauteren,Ozan Oktay,Gustavo Carneiro,Andrew P. Bradley,Jacinto Nascimento,Hang Min,Matthew S. Brown,Colin Jacobs,Bianca Lassen-Schmidt,Kensaku Mori,Jens Petersen,Raúl San José Estépar,Alexander Schmidt-Richberg,Catarina Veiga
Publisher : Springer
Page : 350 pages
File Size : 41,6 Mb
Release : 2018-09-11
Category : Computers
ISBN : 9783030009465

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Image Analysis for Moving Organ, Breast, and Thoracic Images by Danail Stoyanov,Zeike Taylor,Bernhard Kainz,Gabriel Maicas,Reinhard R. Beichel,Anne Martel,Lena Maier-Hein,Kanwal Bhatia,Tom Vercauteren,Ozan Oktay,Gustavo Carneiro,Andrew P. Bradley,Jacinto Nascimento,Hang Min,Matthew S. Brown,Colin Jacobs,Bianca Lassen-Schmidt,Kensaku Mori,Jens Petersen,Raúl San José Estépar,Alexander Schmidt-Richberg,Catarina Veiga Pdf

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.

Mammographic Image Analysis

R. Highnam,J.M. Brady
Mammographic Image Analysis Book PDF

Author : R. Highnam,J.M. Brady
Publisher : Springer Science & Business Media
Page : 383 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9789401146135

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Mammographic Image Analysis by R. Highnam,J.M. Brady Pdf

Breast cancer is a major health problem in the Western world, where it is the most common cancer among women. Approximately 1 in 12 women will develop breast cancer during the course of their lives. Over the past twenty years there have been a series of major advances in the manage ment of women with breast cancer, ranging from novel chemotherapy and radiotherapy treatments to conservative surgery. The next twenty years are likely to see computerized image analysis playing an increasingly important role in patient management. As applications of image analysis go, medical applications are tough in general, and breast cancer image analysis is one of the toughest. There are many reasons for this: highly variable and irregular shapes of the objects of interest, changing imaging conditions, and the densely textured nature of the images. Add to this the increasing need for quantitative informa tion, precision, and reliability (very few false positives), and the image pro cessing challenge becomes quite daunting, in fact it pushes image analysis techniques right to their limits.

Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention

Management Association, Information Resources
Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1671 pages
File Size : 50,9 Mb
Release : 2022-09-09
Category : Medical
ISBN : 9781668475454

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Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention by Management Association, Information Resources Pdf

Medical imaging provides medical professionals the unique ability to investigate and diagnose injuries and illnesses without being intrusive. With the surge of technological advancement in recent years, the practice of medical imaging has only been improved through these technologies and procedures. It is essential to examine these innovations in medical imaging to implement and improve the practice around the world. The Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention investigates and presents the recent innovations, procedures, and technologies implemented in medical imaging. Covering topics such as automatic detection, simulation in medical education, and neural networks, this major reference work is an excellent resource for radiologists, medical professionals, hospital administrators, medical educators and students, librarians, researchers, and academicians.

Ophthalmic Medical Image Analysis

Huazhu Fu,Mona K. Garvin,Tom MacGillivray,Yanwu Xu,Yalin Zheng
Ophthalmic Medical Image Analysis Book PDF

Author : Huazhu Fu,Mona K. Garvin,Tom MacGillivray,Yanwu Xu,Yalin Zheng
Publisher : Springer Nature
Page : 211 pages
File Size : 43,9 Mb
Release : 2021-09-21
Category : Computers
ISBN : 9783030870003

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Ophthalmic Medical Image Analysis by Huazhu Fu,Mona K. Garvin,Tom MacGillivray,Yanwu Xu,Yalin Zheng Pdf

This book constitutes the refereed proceedings of the 8th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2021, held in conjunction with the 24th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2021, in Strasbourg, France, in September 2021.* The 20 papers presented at OMIA 2021 were carefully reviewed and selected from 31 submissions. The papers cover various topics in the field of ophthalmic medical image analysis and challenges in terms of reliability and validation, number and type of conditions considered, multi-modal analysis (e.g., fundus, optical coherence tomography, scanning laser ophthalmoscopy), novel imaging technologies, and the effective transfer of advanced computer vision and machine learning technologies. *The workshop was held virtually.

Auto-Segmentation for Radiation Oncology

Jinzhong Yang,Gregory C. Sharp,Mark J. Gooding
Auto Segmentation for Radiation Oncology Book PDF

Author : Jinzhong Yang,Gregory C. Sharp,Mark J. Gooding
Publisher : CRC Press
Page : 247 pages
File Size : 53,9 Mb
Release : 2021-04-19
Category : Science
ISBN : 9781000376340

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Auto-Segmentation for Radiation Oncology by Jinzhong Yang,Gregory C. Sharp,Mark J. Gooding Pdf

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

Biomedical Image Synthesis and Simulation

Ninon Burgos,David Svoboda
Biomedical Image Synthesis and Simulation Book PDF

Author : Ninon Burgos,David Svoboda
Publisher : Academic Press
Page : 676 pages
File Size : 51,8 Mb
Release : 2022-06-18
Category : Computers
ISBN : 9780128243503

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Biomedical Image Synthesis and Simulation by Ninon Burgos,David Svoboda Pdf

Biomedical Image Synthesis and Simulation: Methods and Applications presents the basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. The first part of the book introduces and describes the simulation and synthesis methods that were developed and successfully used within the last twenty years, from parametric to deep generative models. The second part gives examples of successful applications of these methods. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with several perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and research directions that should be worth exploring in the future. Gives state-of-the-art methods in (bio)medical image synthesis Explains the principles (background) of image synthesis methods Presents the main applications of biomedical image synthesis methods

Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting

Hongen Liao,Simone Balocco,Guijin Wang,Feng Zhang,Yongpan Liu,Zijian Ding,Luc Duong,Renzo Phellan,Guillaume Zahnd,Katharina Breininger,Shadi Albarqouni,Stefano Moriconi,Su-Lin Lee,Stefanie Demirci
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting Book PDF

Author : Hongen Liao,Simone Balocco,Guijin Wang,Feng Zhang,Yongpan Liu,Zijian Ding,Luc Duong,Renzo Phellan,Guillaume Zahnd,Katharina Breininger,Shadi Albarqouni,Stefano Moriconi,Su-Lin Lee,Stefanie Demirci
Publisher : Springer Nature
Page : 212 pages
File Size : 51,6 Mb
Release : 2019-10-12
Category : Computers
ISBN : 9783030333270

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Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting by Hongen Liao,Simone Balocco,Guijin Wang,Feng Zhang,Yongpan Liu,Zijian Ding,Luc Duong,Renzo Phellan,Guillaume Zahnd,Katharina Breininger,Shadi Albarqouni,Stefano Moriconi,Su-Lin Lee,Stefanie Demirci Pdf

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For MLMECH 2019, 16 papers were accepted for publication from a total of 21 submissions. They focus on machine learning techniques and analyzing of ECG data in the diagnosis of heart diseases. CVII-STENT 2019 accepted all 8 submissiones for publication. They contain technological and scientific research concerning endovascular procedures.

Whole Slide Imaging

Anil V. Parwani
Whole Slide Imaging Book PDF

Author : Anil V. Parwani
Publisher : Springer Nature
Page : 253 pages
File Size : 42,5 Mb
Release : 2021-10-29
Category : Medical
ISBN : 9783030833329

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Whole Slide Imaging by Anil V. Parwani Pdf

This book provides up-to-date and practical knowledge in all aspects of whole slide imaging (WSI) by experts in the field. This includes a historical perspective on the evolution of this technology, technical aspects of making a great whole slide image, the various applications of whole slide imaging and future applications using WSI for computer-aided diagnosis The goal is to provide practical knowledge and address knowledge gaps in this emerging field. This book is unique because it addresses an emerging area in pathology for which currently there is only limited information about the practical aspects of deploying this technology. For example, there are no established selection criteria for choosing new scanners and a knowledge base with the key information. The authors of the various chapters have years of real-world experience in selecting and implementing WSI solutions in various aspects of pathology practice. This text also discusses practical tips and pearls to address the selection of a WSI vendor, technology details, implementing this technology and provide an overview of its everyday uses in all areas of pathology. Chapters include important information on how to integrate digital slides with laboratory information system and how to streamline the “digital workflow” with the intent of saving time, saving money, reducing errors, improving efficiency and accuracy, and ultimately benefiting patient outcomes. Whole Slide Imaging: Current Applications and Future Directions is designed to present a comprehensive and state-of the-art approach to WSI within the broad area of digital pathology. It aims to give the readers a look at WSI with a deeper lens and also envision the future of pathology imaging as it pertains to WSI and associated digital innovations.

Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

Rana, Dipti P.,Mehta, Rupa G.
Data Preprocessing Active Learning and Cost Perceptive Approaches for Resolving Data Imbalance Book PDF

Author : Rana, Dipti P.,Mehta, Rupa G.
Publisher : IGI Global
Page : 309 pages
File Size : 55,5 Mb
Release : 2021-06-04
Category : Computers
ISBN : 9781799873730

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Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance by Rana, Dipti P.,Mehta, Rupa G. Pdf

Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance, health, network, news, online advertisement, social network media, and weather have imbalanced data, which emphasizes the research necessity for real-time implications of precise fraud/defaulter detection, rare disease/reaction prediction, network intrusion detection, fake news detection, fraud advertisement detection, cyber bullying identification, disaster events prediction, and more. Machine learning algorithms are based on the heuristic of equally-distributed balanced data and provide the biased result towards the majority data class, which is not acceptable considering imbalanced data is omnipresent in real-life scenarios and is forcing us to learn from imbalanced data for foolproof application design. Imbalanced data is multifaceted and demands a new perception using the novelty at sampling approach of data preprocessing, an active learning approach, and a cost perceptive approach to resolve data imbalance. Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance offers new aspects for imbalanced data learning by providing the advancements of the traditional methods, with respect to big data, through case studies and research from experts in academia, engineering, and industry. The chapters provide theoretical frameworks and the latest empirical research findings that help to improve the understanding of the impact of imbalanced data and its resolving techniques based on data preprocessing, active learning, and cost perceptive approaches. This book is ideal for data scientists, data analysts, engineers, practitioners, researchers, academicians, and students looking for more information on imbalanced data characteristics and solutions using varied approaches.

Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health

Shadi Albarqouni,M. Jorge Cardoso,Qi Dou,Konstantinos Kamnitsas,Bishesh Khanal,Islem Rekik,Nicola Rieke,Debdoot Sheet,Sotirios Tsaftaris,Daguang Xu,Ziyue Xu
Domain Adaptation and Representation Transfer and Affordable Healthcare and AI for Resource Diverse Global Health Book PDF

Author : Shadi Albarqouni,M. Jorge Cardoso,Qi Dou,Konstantinos Kamnitsas,Bishesh Khanal,Islem Rekik,Nicola Rieke,Debdoot Sheet,Sotirios Tsaftaris,Daguang Xu,Ziyue Xu
Publisher : Springer Nature
Page : 276 pages
File Size : 50,7 Mb
Release : 2021-09-23
Category : Computers
ISBN : 9783030877224

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Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health by Shadi Albarqouni,M. Jorge Cardoso,Qi Dou,Konstantinos Kamnitsas,Bishesh Khanal,Islem Rekik,Nicola Rieke,Debdoot Sheet,Sotirios Tsaftaris,Daguang Xu,Ziyue Xu Pdf

This book constitutes the refereed proceedings of the Third MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2021, and the First MICCAI Workshop on Affordable Healthcare and AI for Resource Diverse Global Health, FAIR 2021, held in conjunction with MICCAI 2021, in September/October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic. DART 2021 accepted 13 papers from the 21 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains. For FAIR 2021, 10 papers from 17 submissions were accepted for publication. They focus on Image-to-Image Translation particularly for low-dose or low-resolution settings; Model Compactness and Compression; Domain Adaptation and Transfer Learning; Active, Continual and Meta-Learning.

Biomedical Information Technology

David Dagan Feng
Biomedical Information Technology Book PDF

Author : David Dagan Feng
Publisher : Academic Press
Page : 820 pages
File Size : 52,7 Mb
Release : 2019-10-22
Category : Science
ISBN : 9780128160350

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Biomedical Information Technology by David Dagan Feng Pdf

Biomedical Information Technology, Second Edition, contains practical, integrated clinical applications for disease detection, diagnosis, surgery, therapy and biomedical knowledge discovery, including the latest advances in the field, such as biomedical sensors, machine intelligence, artificial intelligence, deep learning in medical imaging, neural networks, natural language processing, large-scale histopathological image analysis, virtual, augmented and mixed reality, neural interfaces, and data analytics and behavioral informatics in modern medicine. The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modeling, processing, registration, visualization, communication and large-scale biological computing. Presents the world's most recognized authorities who give their "best practices" Provides professionals with the most up-to-date and mission critical tools to evaluate the latest advances in the field Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applications

Computational Vision and Bio-Inspired Computing

S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi
Computational Vision and Bio Inspired Computing Book PDF

Author : S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi
Publisher : Springer Nature
Page : 871 pages
File Size : 41,5 Mb
Release : 2021-06-14
Category : Technology & Engineering
ISBN : 9789813368620

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Computational Vision and Bio-Inspired Computing by S. Smys,João Manuel R. S. Tavares,Robert Bestak,Fuqian Shi Pdf

This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Intelligent Systems Design and Applications

Ajith Abraham,Patrick Siarry,Kun Ma,Arturas Kaklauskas
Intelligent Systems Design and Applications Book PDF

Author : Ajith Abraham,Patrick Siarry,Kun Ma,Arturas Kaklauskas
Publisher : Springer Nature
Page : 679 pages
File Size : 54,7 Mb
Release : 2020-08-14
Category : Technology & Engineering
ISBN : 9783030493424

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Intelligent Systems Design and Applications by Ajith Abraham,Patrick Siarry,Kun Ma,Arturas Kaklauskas Pdf

This book highlights recent research on intelligent systems and nature-inspired computing. It presents 62 selected papers from the 19th International Conference on Intelligent Systems Design and Applications (ISDA 2019), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 33 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Deep Network Design for Medical Image Computing

Haofu Liao,S. Kevin Zhou,Jiebo Luo
Deep Network Design for Medical Image Computing Book PDF

Author : Haofu Liao,S. Kevin Zhou,Jiebo Luo
Publisher : Academic Press
Page : 266 pages
File Size : 51,6 Mb
Release : 2022-08-24
Category : Computers
ISBN : 9780128244036

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Deep Network Design for Medical Image Computing by Haofu Liao,S. Kevin Zhou,Jiebo Luo Pdf

Deep Network Design for Medical Image Computing: Principles and Applications covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems. Explains design principles of deep learning techniques for MIC Contains cutting-edge deep learning research on MIC Covers a broad range of MIC tasks, including the classification, detection, segmentation, registration, reconstruction and synthesis of medical images

Deep Learning for Biomedical Applications

Utku Kose,Omer Deperlioglu,D. Jude Hemanth
Deep Learning for Biomedical Applications Book PDF

Author : Utku Kose,Omer Deperlioglu,D. Jude Hemanth
Publisher : CRC Press
Page : 364 pages
File Size : 46,9 Mb
Release : 2021-07-20
Category : Technology & Engineering
ISBN : 9781000406429

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Deep Learning for Biomedical Applications by Utku Kose,Omer Deperlioglu,D. Jude Hemanth Pdf

This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Learning is an important actor shaping the future of Artificial Intelligence, its specific and innovative solutions for both medical and biomedical are very critical. This book provides a recent view of research works on essential, and advanced topics. The book offers detailed information on the application of Deep Learning for solving biomedical problems. It focuses on different types of data (i.e. raw data, signal-time series, medical images) to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis, image processing perspectives, and even genomics. It takes the reader through different sides of Deep Learning oriented solutions. The specific and innovative solutions covered in this book for both medical and biomedical applications are critical to scientists, researchers, practitioners, professionals, and educations who are working in the context of the topics.