Cancer Prevention Through Early Detection First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / [electronic resource] :
edited by Sharib Ali, Fons van der Sommen, Bartłomiej Władysław Papież, Maureen van Eijnatten, Yueming Jin, Iris Kolenbrander.
- 1st ed. 2022.
- XI, 170 p. 52 illus., 48 illus. in color. online resource.
- Lecture Notes in Computer Science, 13581 1611-3349 ; .
- Lecture Notes in Computer Science, 13581 .
This book constitutes the refereed proceedings of the first International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022. The 16 papers presented at CaPTion 2022 were carefully reviewed and selected from 21 submissions. The workshop invites researchers to submit their work in the field of medical imaging around the central theme of early cancer detection, and it strives to address the challenges that are required to be overcomed to translate computational methods to clinical practice through well designed, generalizable (robust), interpretable and clinically transferable methods.
9783031179792
10.1007/978-3-031-17979-2 doi
Image processing--Digital techniques.
Computer vision.
Machine learning.
Computers.
Application software.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Machine Learning.
Computing Milieux.
Computer and Information Systems Applications.
TA1501-1820 TA1634
006
This book constitutes the refereed proceedings of the first International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022. The 16 papers presented at CaPTion 2022 were carefully reviewed and selected from 21 submissions. The workshop invites researchers to submit their work in the field of medical imaging around the central theme of early cancer detection, and it strives to address the challenges that are required to be overcomed to translate computational methods to clinical practice through well designed, generalizable (robust), interpretable and clinically transferable methods.
9783031179792
10.1007/978-3-031-17979-2 doi
Image processing--Digital techniques.
Computer vision.
Machine learning.
Computers.
Application software.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Machine Learning.
Computing Milieux.
Computer and Information Systems Applications.
TA1501-1820 TA1634
006