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Medical image computing and computer...

International Conference on Medical Image Computing and Computer-Assisted Intervention (2016 :)

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Medical image computing and computer-assisted intervention - MICCAI 2016 = 19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.. Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Medical image computing and computer-assisted intervention - MICCAI 2016/ edited by Sebastien Ourselin ... [et al.].
Reminder of title:	19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.
remainder title:	MICCAI 2016
other author:	Ourselin, Sebastien.
corporate name:	International Conference on Medical Image Computing and Computer-Assisted Intervention
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xliv, 681 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Brain analysis -- Brain analysis - connectivity -- Brain analysis - cortical morphology -- Alzheimer disease -- Surgical guidance and tracking -- Computer aided interventions -- Ultrasound image analysis -- cancer image analysis.
Contained By:	Springer eBooks
Subject:	Diagnostic imaging - Congresses. - Data processing -
Online resource:	http://dx.doi.org/10.1007/978-3-319-46720-7
ISBN:	9783319467207

Medical image computing and computer-assisted intervention - MICCAI 2016 = 19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.. Part I /
Medical image computing and computer-assisted intervention - MICCAI 201619th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part I /[electronic resource] :MICCAI 2016edited by Sebastien Ourselin ... [et al.]. - Cham :Springer International Publishing :2016. - xliv, 681 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,99000302-9743 ;. - Lecture notes in computer science ;9900..

Brain analysis -- Brain analysis - connectivity -- Brain analysis - cortical morphology -- Alzheimer disease -- Surgical guidance and tracking -- Computer aided interventions -- Ultrasound image analysis -- cancer 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.

ISBN: 9783319467207

Standard No.: 10.1007/978-3-319-46720-7doiSubjects--Topical Terms:

893542
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0757

Medical image computing and computer-assisted intervention - MICCAI 2016 = 19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.. Part I /
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520 $a 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.
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