Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II / [electronic resource] :
edited by Sebastien Ourselin, Leo Joskowicz, Mert R. Sabuncu, Gozde Unal, William Wells.
- 1st ed. 2016.
- XXV, 703 p. 238 illus. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 9901 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 9901 .
Machine learning and feature selection -- Deep learning in medical imaging -- Applications of machine learning -- Segmentation -- Cell image analysis.
The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR imageanalysis.
9783319467238
10.1007/978-3-319-46723-8 doi
Computer vision.
Pattern recognition systems.
Computer graphics.
Artificial intelligence.
Radiology.
Medical informatics.
Computer Vision.
Automated Pattern Recognition.
Computer Graphics.
Artificial Intelligence.
Radiology.
Health Informatics.
TA1634
006.37
Machine learning and feature selection -- Deep learning in medical imaging -- Applications of machine learning -- Segmentation -- Cell image analysis.
The three-volume set LNCS 9900, 9901, and 9902 constitutes the refereed proceedings of the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, held in Athens, Greece, in October 2016. Based on rigorous peer reviews, the program committee carefully selected 228 revised regular papers from 756 submissions for presentation in three volumes. The papers have been organized in the following topical sections: Part I: brain analysis, brain analysis - connectivity; brain analysis - cortical morphology; Alzheimer disease; surgical guidance and tracking; computer aided interventions; ultrasound image analysis; cancer image analysis; Part II: machine learning and feature selection; deep learning in medical imaging; applications of machine learning; segmentation; cell image analysis; Part III: registration and deformation estimation; shape modeling; cardiac and vascular image analysis; image reconstruction; and MR imageanalysis.
9783319467238
10.1007/978-3-319-46723-8 doi
Computer vision.
Pattern recognition systems.
Computer graphics.
Artificial intelligence.
Radiology.
Medical informatics.
Computer Vision.
Automated Pattern Recognition.
Computer Graphics.
Artificial Intelligence.
Radiology.
Health Informatics.
TA1634
006.37