Image Analysis For Moving Organ Breast And Thoracic Images
DOWNLOAD
Download Image Analysis For Moving Organ Breast And Thoracic Images PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Image Analysis For Moving Organ Breast And Thoracic Images book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Image Analysis For Moving Organ Breast And Thoracic Images
DOWNLOAD
Author : Danail Stoyanov
language : en
Publisher: Springer
Release Date : 2018-09-11
Image Analysis For Moving Organ Breast And Thoracic Images written by Danail Stoyanov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-11 with Computers categories.
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.
Research Anthology On Improving Medical Imaging Techniques For Analysis And Intervention
DOWNLOAD
Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2022-09-09
Research Anthology On Improving Medical Imaging Techniques For Analysis And Intervention written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-09 with Medical categories.
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
DOWNLOAD
Author : Huazhu Fu
language : en
Publisher: Springer Nature
Release Date : 2021-09-21
Ophthalmic Medical Image Analysis written by Huazhu Fu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-21 with Computers categories.
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.
Artificial Intelligence And Imaging For Diagnostic And Treatment Challenges In Breast Care
DOWNLOAD
Author : Ritse M. Mann
language : en
Publisher: Springer Nature
Release Date : 2025-02-11
Artificial Intelligence And Imaging For Diagnostic And Treatment Challenges In Breast Care written by Ritse M. Mann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Computers categories.
This book constitutes the refereed proceedings of the First Deep Breast Workshop on Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, Deep-Breath 2024, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 10, 2024.The 23 regular papers presented in this book were carefully reviewed and selected from 51 submissions.The workshop provides an international platform for presentation of - and discussion on - studies related to AI in breast imaging. Deep-Breath aims to promote the development of this research area by sharing insights in academic research and clinical practice between clinicians and AI experts, and by exploring together the opportunities and potential challenges of AI applications in breast health. The deep-breath workshop provides, therefore, an unique forum to discuss the possibilities in this challenging field, aiming to create value that eventually truly leads to benefit for physicians and patients.
Machine Learning And Medical Engineering For Cardiovascular Health And Intravascular Imaging And Computer Assisted Stenting
DOWNLOAD
Author : Hongen Liao
language : en
Publisher: Springer Nature
Release Date : 2019-10-12
Machine Learning And Medical Engineering For Cardiovascular Health And Intravascular Imaging And Computer Assisted Stenting written by Hongen Liao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-12 with Computers categories.
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.
Biomedical Image Synthesis And Simulation
DOWNLOAD
Author : Ninon Burgos
language : en
Publisher: Academic Press
Release Date : 2022-06-18
Biomedical Image Synthesis And Simulation written by Ninon Burgos and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-18 with Computers categories.
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
Data Driven Clinical Decision Making Using Deep Learning In Imaging
DOWNLOAD
Author : M. F. Mridha
language : en
Publisher: Springer Nature
Release Date : 2024-08-13
Data Driven Clinical Decision Making Using Deep Learning In Imaging written by M. F. Mridha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-13 with Computers categories.
This book explores cutting-edge medical imaging advancements and their applications in clinical decision-making. The book contains various topics, methodologies, and applications, providing readers with a comprehensive understanding of the field's current state and prospects. It begins with exploring domain adaptation in medical imaging and evaluating the effectiveness of transfer learning to overcome challenges associated with limited labeled data. The subsequent chapters delve into specific applications, such as improving kidney lesion classification in CT scans, elevating breast cancer research through attention-based U-Net architecture for segmentation and classifying brain MRI images for neurological disorders. Furthermore, the book addresses the development of multimodal machine learning models for brain tumor prognosis, the identification of unique dermatological signatures using deep transfer learning, and the utilization of generative adversarial networks to enhance breast cancer detection systems by augmenting mammogram images. Additionally, the authors present a privacy-preserving approach for breast cancer risk prediction using federated learning, ensuring the confidentiality and security of sensitive patient data. This book brings together a global network of experts from various corners of the world, reflecting the truly international nature of its research.
Latest Research On Breast Cancer Molecular Insights Diagnostic Advances And Therapeutic Innovations
DOWNLOAD
Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-05-28
Latest Research On Breast Cancer Molecular Insights Diagnostic Advances And Therapeutic Innovations written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-28 with Medical categories.
Latest Research on Breast Cancer - Molecular Insights, Diagnostic Advances and Therapeutic Innovations brings together innovative and multidisciplinary contributions addressing one of the most complex and heterogeneous diseases in modern oncology. This volume presents a comprehensive overview of recent advances in breast cancer research, spanning from tumor biology and molecular heterogeneity to the development of diagnostic technologies and novel therapeutic strategies. The book includes state-of-the-art discussions on imaging modalities such as MRI, ultrasound, and artificial intelligence-based diagnostic tools, as well as in-depth analyses of molecular mechanisms, signaling pathways, drug resistance, and tumor microenvironmental interactions. Contributions also explore emerging strategies in drug delivery, biomarker discovery, gene expression profiling, and immunological insights into metastasis, including the role of the microbiota and immune cell interactions in the bone metastatic niche. By integrating basic science, translational research, and clinical applications, this volume provides valuable perspectives for researchers, clinicians, and health professionals working in oncology, molecular biology, immunology, and precision medicine. The book aims to foster interdisciplinary dialogue and promote the development of innovative approaches for improving diagnosis, treatment, and patient outcomes in breast cancer. Edited by Prof. Ana Carolina Monteiro and Prof. Lulu Wang, the volume reflects contributions from international experts and provides a timely reference for those committed to advancing breast cancer research and care.
Whole Slide Imaging
DOWNLOAD
Author : Anil V. Parwani
language : en
Publisher: Springer Nature
Release Date : 2021-10-29
Whole Slide Imaging written by Anil V. Parwani and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-29 with Medical categories.
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.
Revolutionizing Healthcare Impact Of Artificial Intelligence On Diagnosis Treatment And Patient Care
DOWNLOAD
Author : Thipendra P. Singh
language : en
Publisher: Springer Nature
Release Date : 2025-03-21
Revolutionizing Healthcare Impact Of Artificial Intelligence On Diagnosis Treatment And Patient Care written by Thipendra P. Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Computers categories.
This book explores the transformative role of artificial intelligence (AI) in healthcare, emphasizing its shift from a futuristic concept to an essential part of modern medical systems. The articles cover a range of AI applications, from disease diagnosis and drug design to patient engagement and mental health treatment. Advances in machine learning (ML) and deep learning (DL) technologies have opened new possibilities for diagnosing complex conditions, with examples like predictive analysis for health risks and early diagnosis of diseases such as breast cancer and diabetic retinopathy. Additionally, AI's role in treating mental health disorders is highlighted. While AI offers vast benefits, the book stresses the importance of ethical considerations, such as patient privacy and equitable access. It also addresses challenges in integrating AI within existing healthcare systems, underscoring collaboration among stakeholders as crucial. This book ultimately provides a comprehensive look at AI’s potential to reshape healthcare.