Search

Select theme:

Shopping cart

Subtotal
$97.00
View cart Checkout

Saved articles

You have not yet added any article to your bookmarks!

Browse articles
Newsletter image

Subscribe to the Newsletter

Join 10k+ people to get notified about new posts, news and tips.

Do not worry we don't spam!

GDPR Compliance

We use cookies to ensure you get the best experience on our website. By continuing to use our site, you accept our use of cookies, Privacy Policy, and Terms of Service.

  • Home
Medical Image Learning with Limited and Noisy Data

Medical Image Learning with Limited and Noisy Data

By Zhiyun Xue, Sameer Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru & Zhaohui Liang Computers & Internet 07/10/2023

This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023).
The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.

Read More
More Books from Zhiyun Xue, Sameer Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru & Zhaohui Liang
Medical Image Learning with Limited and Noisy Data Ghada Zamzmi, Sameer Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman & Zhiyun Xue
Medical Image Learning with Limited and Noisy Data
Medical Image Learning with Limited and Noisy Data Zhiyun Xue, Sameer Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru & Zhaohui Liang
Medical Image Learning with Limited and Noisy Data
Comments