Medical Image Computing And Computer-assisted Intervention – Miccai 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part Ii (lecture Notes In Computer Science)
by Leo Joskowicz /
2017 / English / PDF
231.7 MB Download
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 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 image analysis.