Domain Adaptation and Representation Transfer: 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, ... (Lecture Notes in Computer Science, 13542)

Springer
SKU:
9783031168512
|
ISBN13:
9783031168512
$66.64
(No reviews yet)
Condition:
New
Usually Ships in 24hrs
Current Stock:
Estimated Delivery by: | Fastest delivery by:
Adding to cart… The item has been added
Buy ebook
This book constitutes the refereed proceedings of the 4th MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2022, held in conjunction with MICCAI 2022, in September 2022. DART 2022 accepted 13 papers from the 25 submissions received. The workshop aims at creating a discussion forum to compare, evaluate, and discuss methodological advancements and ideas that can improve the applicability of machine learning (ML)/deep learning (DL) approaches to clinical setting by making them robust and consistent across different domains.


  • | Author: Konstantinos Kamnitsas, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios Tsaftaris
  • | Publisher: Springer
  • | Publication Date: Sep 20, 2022
  • | Number of Pages: 157 pages
  • | Language: English
  • | Binding: Paperback/Computers
  • | ISBN-10: 3031168518
  • | ISBN-13: 9783031168512
Author:
Konstantinos Kamnitsas, Lisa Koch, Mobarakol Islam, Ziyue Xu, Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios Tsaftaris
Publisher:
Springer
Publication Date:
Sep 20, 2022
Number of pages:
157 pages
Language:
English
Binding:
Paperback/Computers
ISBN-10:
3031168518
ISBN-13:
9783031168512