TY  - GEN
N2  - This book constitutes the refereed proceedings of the first MICCAI Workshop on Resource-Efficient Medical Image Analysis, REMIA 2022, held in conjunction with MICCAI 2022, in September 2022 as a hybrid event. REMIA 2022 accepted 13 papers from the 19 submissions received. The workshop aims at creating a discussion on the issues for practical applications of medical imaging systems with data, label and hardware limitations.
DO  - 10.1007/978-3-031-16876-5
DO  - doi
AB  - This book constitutes the refereed proceedings of the first MICCAI Workshop on Resource-Efficient Medical Image Analysis, REMIA 2022, held in conjunction with MICCAI 2022, in September 2022 as a hybrid event. REMIA 2022 accepted 13 papers from the 19 submissions received. The workshop aims at creating a discussion on the issues for practical applications of medical imaging systems with data, label and hardware limitations.
T1  - Resource-efficient medical image analysis :first MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings /
AU  - Xu, Xinxing,
AU  - Li, Xiaomeng,
AU  - Mahapatra, Dwarikanath,
AU  - Cheng, Li,
AU  - Petitjean, Caroline,
AU  - Fu, Huazhu,
VL  - 13543
CN  - RC78.7.D53
N1  - Includes author index.
ID  - 1449685
KW  - Diagnostic imaging
SN  - 9783031168765
SN  - 3031168763
TI  - Resource-efficient medical image analysis :first MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16876-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16876-5
ER  -