Ethics and Fairness in Medical Imaging
Redigert av Aasa Feragen, Veronika Cheplygina, Melanie Ganz-Benjaminsen, John S. H. Baxter, Ghada Zamzmi, Esther Puyol-Anton, Enzo Ferrante, Eike Petersen, Ben Glocker, Andrew P. King, 2024.Del av serien Lecture Notes in Computer Science.
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
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.
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 17 dager
Ethics and Fairness in Medical Imaging
Redigert av Aasa Feragen, Veronika Cheplygina, Melanie Ganz-Benjaminsen, John S. H. Baxter, Ghada Zamzmi, Esther Puyol-Anton, Enzo Ferrante, Eike Petersen, Ben Glocker, Andrew P. King, 2024.Del av serien Lecture Notes in Computer Science.
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
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.
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 17 dager
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
