Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I (Paperback, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 9900
Release date:	October 2016
First published:	2016
Editors:	Sebastien Ourselin • Leo Joskowicz • Mert R. Sabuncu • Gozde Unal • William Wells
Dimensions:	235 x 155 x 37mm (L x W x T)
Format:	Paperback
Pages:	681
Edition:	1st ed. 2016
ISBN-13:	978-3-319-46719-1
Categories:	Books > Computing & IT > Computer programming > General Books > Computing & IT > Applications of computing > Pattern recognition Books > Medicine > General issues > Medical equipment & techniques > General Books > Medicine > Other branches of medicine > Medical imaging > Radiology Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-319-46719-0
Barcode:	9783319467191

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