TY  - GEN
N2  - This book constitutes the refereed joint proceedings of the 5th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2022, held in September 2022, in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022. The 10 full papers presented at iMIMIC 2022 were carefully reviewed and selected from 24 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. .
DO  - 10.1007/978-3-031-17976-1
DO  - doi
AB  - This book constitutes the refereed joint proceedings of the 5th International Workshop on Interpretability of Machine Intelligence in Medical Image Computing, iMIMIC 2022, held in September 2022, in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022. The 10 full papers presented at iMIMIC 2022 were carefully reviewed and selected from 24 submissions each. The iMIMIC papers focus on introducing the challenges and opportunities related to the topic of interpretability of machine learning systems in the context of medical imaging and computer assisted intervention. .
T1  - Interpretability of machine intelligence in medical image computing :5th international workshop, iMIMIC 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings /
AU  - Reyes, Mauricio,
AU  - Henriques Abreu, Pedro,
AU  - Cardoso, Jaime S.
VL  - 13611
CN  - RC78.7.D53
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 1450290
KW  - Diagnostic imaging
KW  - Computer-assisted surgery
SN  - 9783031179761
SN  - 3031179765
TI  - Interpretability of machine intelligence in medical image computing :5th international workshop, iMIMIC 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17976-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17976-1
ER  -