Ethics and Fairness in Medical Imaging

Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6–10, 2024, Proceedings

190 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

This book constitutes the refereed proceedings of the Second International Workshop, FAIMI 2024, and the Third International Workshop, EPIMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, in October 2024.

The 17 full papers presented in this book were carefully reviewed and selected from 21 submissions. FAIMI aimed to raise awareness about potential fairness issues in machine learning within the context of biomedical image analysis. The instance of EPIMI concentrates on topics surrounding open science, taking a critical lens on the subject.

• Reihe: Lecture Notes in Computer Science
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI) Maschinelles Sehen, Bildverstehen
• ISBN: 9783031727863
• Sprache: Englisch
• Erscheinungsdatum: 13.10.2024
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson