TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-44917-8
DO  - doi
AB  - 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.
T1  - Medical image learning with limited and noisy data :second international workshop, MILLanD 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings /
AU  - Xue, Zhiyun,
AU  - Antani, Sameer K.,
AU  - Zamzmi, Ghada,
AU  - Yang, Feng,
AU  - Rajaraman, Sivaramakrishnan,
AU  - Huang, Sharon Xiaolei,
AU  - Linguraru, Marius George,
AU  - Liang, Zhaohui,
VL  - 14307
CN  - R857.O6
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1482326
KW  - Imaging systems in medicine
KW  - Deep learning (Machine learning)
KW  - Imagerie médicale
KW  - Apprentissage profond
SN  - 9783031449178
SN  - 3031449177
TI  - Medical image learning with limited and noisy data :second international workshop, MILLanD 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44917-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44917-8
ER  -