null Skip to main content

✨ Buy more, save 5% Ends

Data Augmentation, Labelling, and Imperfections: Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, ... (Lecture Notes in Computer Science, 13567)

Data Augmentation, Labelling, and Imperfections: Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, ... (Lecture Notes in Computer Science, 13567)

$66.64
New condition
(No reviews yet) Write a Review
Physical book delivery

Shipping calculated at checkout.

Estimated delivery
Adding to cart… The item has been added
Product Details
Author:
Hien V. Nguyen, Sharon X. Huang, Yuan Xue
Publisher:
Springer
Publication Date:
Oct 23, 2022
Number of pages:
134 pages
Language:
English
Binding:
Paperback/Computers
ISBN-10:
3031170261
ISBN-13:
9783031170263

Overview

This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022. DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.


  • | Author: Hien V. Nguyen, Sharon X. Huang, Yuan Xue
  • | Publisher: Springer
  • | Publication Date: Oct 23, 2022
  • | Number of Pages: 134 pages
  • | Language: English
  • | Binding: Paperback/Computers
  • | ISBN-10: 3031170261
  • | ISBN-13: 9783031170263

Reviews

0 Reviews

Write a Review

No reviews yet.

Share your experience and help another reader choose their next book.

Discover your next great book

Get new releases, reader favourites, and special offers delivered to your inbox.