Description: Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health : Third MICCAI Workshop, DeCaF, ISBN 3031185226, ISBN-13 9783031185229, Like New Used, Free shipping in the US This book constitutes the refereed proceedings of the Third MICCAI Workshop on Distributed, Collaborative, and Federated Learning, DeCaF 2022, and the Second MICCAI Workshop on Affordable AI and Healthcare, FAIR 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. FAIR 2022 was held as a hybrid event. DeCaF 2022 accepted 14 papers from the 18 submissions received. The workshop aims at creating a scientific discussion focusing on the comparison, evaluation, and discussion of methodological advancement and practical ideas about machine learning applied to problems where data cannot be stored in centralized databases or where information privacy is a priority. For FAIR 2022, 4 papers from 9 submissions were accepted for publication. The topics of the accepted submissions focus on deep ultrasound segmentation, portable OCT image quality enhancement, self-attention deep networks and knowledge distillation in low-regime setting.
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Book Title: Distributed, Collaborative, and Federated Learning, and Affordabl
Number of Pages: Xv, 204 Pages
Publication Name: Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health : Second MICCAI Workshop, FAIR 2022, and Third MICCAI Workshop, DeCaF 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings
Language: English
Publisher: Springer
Subject: Intelligence (Ai) & Semantics, General, Internal Medicine, Computer Vision & Pattern Recognition
Publication Year: 2022
Type: Textbook
Item Weight: 12.1 Oz
Author: Spyridon Bakas
Subject Area: Computers, Medical
Item Length: 9.3 in
Item Width: 6.1 in
Series: Lecture Notes in Computer Science Ser.
Format: Trade Paperback
