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Statistical atlases and computationa...

(1998 :)

Statistical atlases and computational models of the heartM&Ms and EMIDEC challenges : 11th International Workshop, STACOM 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : revised selected papers /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Statistical atlases and computational models of the heartedited by Esther Puyol Anton ... [et al.].
其他題名:	M&Ms and EMIDEC challenges : 11th International Workshop, STACOM 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : revised selected papers /
其他題名:	STACOM 2020
其他作者:	Puyol Anton, Esther.
團體作者:
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xv, 417 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	HeartCongresses.Imaging
電子資源:	https://doi.org/10.1007/978-3-030-68107-4
ISBN:	9783030681074$q(electronic bk.)

Statistical atlases and computational models of the heartM&Ms and EMIDEC challenges : 11th International Workshop, STACOM 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : revised selected papers /
Statistical atlases and computational models of the heartM&Ms and EMIDEC challenges : 11th International Workshop, STACOM 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 4, 2020 : revised selected papers /[electronic resource] :STACOM 2020edited by Esther Puyol Anton ... [et al.]. - Cham :Springer International Publishing :2021. - xv, 417 p. :ill., digital ;24 cm. - Lecture notes in computer science,125920302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the proceedings of the 11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020, as well as two challenges: M&Ms - The Multi-Centre, Multi-Vendor, Multi-Disease Segmentation Challenge, and EMIDEC - Automatic Evaluation of Myocardial Infarction from Delayed-Enhancement Cardiac MRI Challenge. The 43 full papers included in this volume were carefully reviewed and selected from 70 submissions. They deal with cardiac imaging and image processing, machine learning applied to cardiac imaging and image analysis, atlas construction, artificial intelligence, statistical modelling of cardiac function across different patient populations, cardiac computational physiology, model customization, atlas based functional analysis, ontological schemata for data and results, integrated functional and structural analyses, as well as the pre-clinical and clinical applicability of these methods.

ISBN: 9783030681074$q(electronic bk.)

Standard No.: 10.1007/978-3-030-68107-4doiSubjects--Topical Terms:

438630
Heart
--Imaging--Congresses.

LC Class. No.: RC683.5.I42 / S73 2021

Dewey Class. No.: 616.10754

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