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Medical image computing and computer...

(1998 :)

Medical image computing and computer-assisted intervention - MICCAI 201619th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part II /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Medical image computing and computer-assisted intervention - MICCAI 2016edited by Sebastien Ourselin ... [et al.].
其他題名:	19th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.
其他題名:	MICCAI 2016
其他作者:	Ourselin, Sebastien.
團體作者:
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xxv, 703 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Diagnostic imagingCongresses.Data processing
電子資源:	http://dx.doi.org/10.1007/978-3-319-46723-8
ISBN:	9783319467238$q(electronic bk.)

Medical image computing and computer-assisted intervention - MICCAI 201619th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part II /
Medical image computing and computer-assisted intervention - MICCAI 201619th International Conference, Athens, Greece, October 17-21, 2016 : proceedings.Part II /[electronic resource] :MICCAI 2016edited by Sebastien Ourselin ... [et al.]. - Cham :Springer International Publishing :2016. - xxv, 703 p. :ill., digital ;24 cm. - Lecture notes in computer science,99010302-9743 ;. - Lecture notes in computer science ;4891..

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 image analysis.

ISBN: 9783319467238$q(electronic bk.)

Standard No.: 10.1007/978-3-319-46723-8doiSubjects--Topical Terms:

445765
Diagnostic imaging
--Data processing--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0757

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