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 / [electronic resource] :
edited by Mauricio Reyes, Pedro Henriques Abreu, Jaime Cardoso.
- 1st ed. 2022.
- X, 125 p. 50 illus., 47 illus. in color. online resource.
- Lecture Notes in Computer Science, 13611 1611-3349 ; .
- Lecture Notes in Computer Science, 13611 .
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. .
9783031179761
10.1007/978-3-031-17976-1 doi
Computer vision.
Machine learning.
Education--Data processing.
Social sciences--Data processing.
Bioinformatics.
Computer Vision.
Machine Learning.
Computers and Education.
Computer Application in Social and Behavioral Sciences.
Computational and Systems Biology.
TA1634
006.37
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. .
9783031179761
10.1007/978-3-031-17976-1 doi
Computer vision.
Machine learning.
Education--Data processing.
Social sciences--Data processing.
Bioinformatics.
Computer Vision.
Machine Learning.
Computers and Education.
Computer Application in Social and Behavioral Sciences.
Computational and Systems Biology.
TA1634
006.37