Fetal, Infant and Ophthalmic Medical Image Analysis International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings / [electronic resource] :
edited by M. Jorge Cardoso, Tal Arbel, Andrew Melbourne, Hrvoje Bogunovic, Pim Moeskops, Xinjian Chen, Ernst Schwartz, Mona Garvin, Emma Robinson, Emanuele Trucco, Michael Ebner, Yanwu Xu, Antonios Makropoulos, Adrien Desjardin, Tom Vercauteren.
- 1st ed. 2017.
- XIII, 252 p. 109 illus. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10554 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 10554 .
This book constitutes the refereed joint proceedings of the International Workshop on Fetal and Infant Image Analysis, FIFI 2017, and the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 8 full papers presented at FIFI 2017 and the 20 full papers presented at OMIA 2017 were carefully reviewed and selected. The FIFI papers feature research on advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period. The OMIA papers cover various topics in the field of ophthalmic image analysis.
9783319675619
10.1007/978-3-319-67561-9 doi
Computer vision.
Artificial intelligence.
Medical informatics.
Data mining.
Computer science.
Computer science--Mathematics.
Mathematical statistics.
Computer Vision.
Artificial Intelligence.
Health Informatics.
Data Mining and Knowledge Discovery.
Models of Computation.
Probability and Statistics in Computer Science.
TA1634
006.37
This book constitutes the refereed joint proceedings of the International Workshop on Fetal and Infant Image Analysis, FIFI 2017, and the 6th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 8 full papers presented at FIFI 2017 and the 20 full papers presented at OMIA 2017 were carefully reviewed and selected. The FIFI papers feature research on advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period. The OMIA papers cover various topics in the field of ophthalmic image analysis.
9783319675619
10.1007/978-3-319-67561-9 doi
Computer vision.
Artificial intelligence.
Medical informatics.
Data mining.
Computer science.
Computer science--Mathematics.
Mathematical statistics.
Computer Vision.
Artificial Intelligence.
Health Informatics.
Data Mining and Knowledge Discovery.
Models of Computation.
Probability and Statistics in Computer Science.
TA1634
006.37