Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging

This book summarizes the refereed joint proceedings of three international workshops held in conjunction with MICCAI 2022, focusing on ethical & philosophical issues in medical imaging, multimodal learning and fusion for clinical decision support, and topological data analysis for biomedical imaging.

Format: Paperback / softback
Length: 135 pages
Publication date: 17 December 2022
Publisher: Springer International Publishing AG

The book is a comprehensive compilation of the refereed joint proceedings of three international workshops held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention (MICCAI) 2022 in Singapore. These workshops focused on ethical and philosophical issues in medical imaging, multimodal learning and fusion across scales for clinical decision support, and topological data analysis for biomedical imaging.

The first workshop, Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022), brought together experts from various fields to explore the ethical implications of medical imaging technologies and their applications. The participants discussed topics such as privacy, consent, transparency, and the responsible use of medical images.

The second workshop, Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022), focused on the use of multimodal data sets to improve clinical decision-making and treatment planning. The participants discussed machine learning algorithms, data integration techniques, and the application of multimodal data in various medical domains.

The third workshop, Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), explored the role of topology in machine learning and data science. The participants discussed techniques and tools for analyzing and interpreting biomedical images using topological concepts, such as graph theory and network analysis.

Overall, the book provides a valuable resource for researchers, practitioners, and policymakers interested in ethical and philosophical issues in medical imaging, multimodal learning and fusion, and topological data analysis. It showcases the latest research and developments in these fields and highlights the potential applications of these technologies in healthcare.
The book is a comprehensive compilation of the refereed joint proceedings of three international workshops held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention (MICCAI) 2022 in Singapore. These workshops focused on ethical and philosophical issues in medical imaging, multimodal learning and fusion across scales for clinical decision support, and topological data analysis for biomedical imaging.

The first workshop, Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022), brought together experts from various fields to explore the ethical implications of medical imaging technologies and their applications. The participants discussed topics such as privacy, consent, transparency, and the responsible use of medical images.

The second workshop, Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022), focused on the use of multimodal data sets to improve clinical decision-making and treatment planning. The participants discussed machine learning algorithms, data integration techniques, and the application of multimodal data in various medical domains.

The third workshop, Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), explored the role of topology in machine learning and data science. The participants discussed techniques and tools for analyzing and interpreting biomedical images using topological concepts, such as graph theory and network analysis.

Overall, the book provides a valuable resource for researchers, practitioners, and policymakers interested in ethical and philosophical issues in medical imaging, multimodal learning and fusion, and topological data analysis. It showcases the latest research and developments in these fields and highlights the potential applications of these technologies in healthcare.

The book is a valuable resource for researchers, practitioners, and policymakers interested in ethical and philosophical issues in medical imaging, multimodal learning and fusion, and topological data analysis. It showcases the latest research and developments in these fields and highlights the potential applications of these technologies in healthcare.

Weight: 250g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031232220
Edition number: 1st ed. 2022