UID:
almahu_9949419929202882
Umfang:
XVIII, 135 p. 37 illus., 32 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031232237
Serie:
Lecture Notes in Computer Science, 13755
Inhalt:
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.
Anmerkung:
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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031232220
Weitere Ausg.:
Printed edition: ISBN 9783031232244
Sprache:
Englisch
DOI:
10.1007/978-3-031-23223-7
URL:
https://doi.org/10.1007/978-3-031-23223-7
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