Medical Image Learning with Limited and Noisy Data
Author | : Ghada Zamzmi |
Publisher | : Springer Nature |
Total Pages | : 243 |
Release | : 2022-09-21 |
ISBN-10 | : 9783031167607 |
ISBN-13 | : 3031167600 |
Rating | : 4/5 (600 Downloads) |
Download or read book Medical Image Learning with Limited and Noisy Data written by Ghada Zamzmi and published by Springer Nature. This book was released on 2022-09-21 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the First Workshop on Medical Image Learning with Limited and Noisy Data, MILLanD 2022, held in conjunction with MICCAI 2022. The conference was held in Singapore. For this workshop, 22 papers from 54 submissions were accepted for publication. They selected papers focus on the 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.