Medical Image Learning with Limited and Noisy Data
Medical Image Learning with Limited and Noisy Data
Buch
- Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
- Herausgeber: Zhiyun Xue, Sameer Antani, Ghada Zamzmi, Zhaohui Liang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Feng Yang
- Springer International Publishing, 10/2023
- Einband: Kartoniert / Broschiert, Paperback
- Sprache: Englisch
- ISBN-13: 9783031471964
- Bestellnummer: 11654709
- Umfang: 284 Seiten
- Nummer der Auflage: 23001
- Auflage: 1st ed. 2023
- Gewicht: 435 g
- Maße: 235 x 155 mm
- Stärke: 16 mm
- Erscheinungstermin: 31.10.2023
- Serie: Lecture Notes in Computer Science - Band 14307
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.