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

Shadi Albarqouni; Spyridon Bakas; Sophia Bano; M. Jorge Cardoso; Bishesh Khanal; Bennett Landman; Xiaoxiao Li; Chen Qin; Islem Rekik; Nicola Rieke; Holger Roth; Debdoot Sheet; Daguang Xu

Informasi Umum

Kode

23.21.1847

Klasifikasi

003.78 - Distributed-Parameter System

Jenis

Buku - Elektronik (E-Book)

Subjek

Distributed Objects

No. Rak

1

Dilihat

16 kali

Informasi Lainnya

Abstraksi

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.

Koleksi & Sirkulasi

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Pengarang

Nama	Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu
Jenis	Perorangan
Penyunting
Penerjemah