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Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging: 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 1822, 2022, Proceedings 1st ed. 2022 [Minkštas viršelis]

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  • Formatas: Paperback / softback, 135 pages, aukštis x plotis: 235x155 mm, weight: 250 g, 32 Illustrations, color; 5 Illustrations, black and white; XVIII, 135 p. 37 illus., 32 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 13755
  • Išleidimo metai: 17-Dec-2022
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031232224
  • ISBN-13: 9783031232220
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 135 pages, aukštis x plotis: 235x155 mm, weight: 250 g, 32 Illustrations, color; 5 Illustrations, black and white; XVIII, 135 p. 37 illus., 32 illus. in color., 1 Paperback / softback
  • Serija: Lecture Notes in Computer Science 13755
  • Išleidimo metai: 17-Dec-2022
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3031232224
  • ISBN-13: 9783031232220
Kitos knygos pagal šią temą:
This book constitutes the refereed joint proceedings of the 1st International Workshop on Ethical & Philosophical Issues in Medical Imaging (EPIMI 2022); the 12th International Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support (ML-CDS 2022) and the 2nd 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 topology plays in machine learning and data science.

Ethical and Philosophical Issues in Medical Imaging.- Data Poisoning Attack and Defenses in Connectome-based Predictive Models.- Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis.- Separable vs. End-to-End Learning: A critical examination of learning paradigms.- A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools.- User-centered design for surgical innovations: A ventriculostomy case study.- Multimodal Learning and Fusion Across Scales for Clinical Decision Support.- Visually Aware Metadata-guided Supervision for Improved Skin Lesion Classification using Deep Learning.- Predicting Osteoarthritis of the Temporomandibular Joint Using Random Forest with Privileged Information.- Hybrid Network Based on Cross-modal Feature Fusion for Diagnosis of Alzheimer's Disease.- Topological Data Analysis for Biomedical Imaging.- Future Unruptured Intracranial Aneurysm Growth Prediction using Mesh Convolutional Neural Networks.- TDA-Clustering Strategies for the Characterization of Brain Organoids.- Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.