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

Beschreibung

This book constitutes the refereed joint proceedings of the 1^st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12^th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2^nd International Workshop on Topological Data Analysis for Biomedical Imaging (TDA4BiomedicalImaging 2022), held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022.

EPIMI includes five short papers about various humanistic aspects of medical image computing and computer-assisted interventions. The ML-CDS papers discuss machine learning on multimodal data sets for clinical decision support and treatment planning. The TDA papers focus on Topological Data Analysis: a collection of techniques and tools that have matured from an increasing interest in the role topologyplays in machine learning and data science.

Autor*in

John S. H. Baxter

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artificial intelligence bioinformatics classification methods computer networks computer systems computer vision data mining databases deep learning image analysis image processing image segmentation learning machine learning medical images

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