TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-16760-7
DO  - doi
AB  - 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.
T1  - Medical image learning with limited and noisy data :first international workshop, MILLanD 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings /
AU  - Zamzmi, Ghada,
AU  - Antani, Sameer K.,
AU  - Bagci, Ulas,
AU  - Linguraru, Marius George,
AU  - Rajaraman, Sivaramakrishnan,
AU  - Xue, Zhiyun,
VL  - 13559
CN  - R857.O6
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1449868
KW  - Imaging systems in medicine
KW  - Deep learning (Machine learning)
SN  - 9783031167607
SN  - 3031167600
TI  - Medical image learning with limited and noisy data :first international workshop, MILLanD 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022, proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16760-7
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16760-7
ER  -