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Image of Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings

Electronic Resource

Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health: Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings

Albarqouni, Shadi - Personal Name; Bakas, Spyridon - Personal Name; Bano, Sophia - Personal Name; Cardoso, M. Jorge - Personal Name; Khanal, Bishesh - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
2008000099EB0004016006.3 DisCentral Library (Database Springer E-Book)Available
Detail Information
Series Title
Lecture Notes in Computer Science
Call Number
006.3 Dis
Publisher
Switzerland : Springer Cham., 2022
Collation
xv, 204p.: Ill.
Language
English
ISBN/ISSN
978-3-031-18523-6
Classification
006.3
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Artificial intelligence
Specific Detail Info
-
Statement of Responsibility
RTS
Other version/related

No other version available

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  • Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health
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