Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global..., Kartoniert / Broschiert
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
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Shadi Albarqouni, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett Landman, Xiaoxiao Li, Chen Qin, Islem Rekik
- Verlag:
- Springer, 10/2022
- Einband:
- Kartoniert / Broschiert, Paperback
- Sprache:
- Englisch
- ISBN-13:
- 9783031185229
- Artikelnummer:
- 11065464
- Umfang:
- 220 Seiten
- Nummer der Auflage:
- 22001
- Ausgabe:
- 1st edition 2022
- Gewicht:
- 341 g
- Maße:
- 235 x 155 mm
- Stärke:
- 12 mm
- Erscheinungstermin:
- 9.10.2022
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.
