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Statistical Atlases and Computational Models of the Heart. M&ms and Emidec Ch...

Description: Statistical Atlases and Computational Models of the Heart. M&ms and Emidec Challenges : 11th International Workshop, Stacom 2020, Held in Conjunction With Miccai 2020, Lima, Peru, October 4, 2020, Revised Selected Papers, Paperback by Anton, Esther Puyol (EDT); Pop, Mihaela (EDT); Sermesant, Maxime (EDT); Campello, Victor (EDT); Lalande, Alain (EDT), ISBN 3030681068, ISBN-13 9783030681067, Brand New, Free shipping in the US 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. 

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Statistical Atlases and Computational Models of the Heart. M&ms and Emidec Ch...

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Book Title: Statistical Atlases and Computational Models of the Heart. M&ms a

Number of Pages: Xv, 417 Pages

Language: English

Publication Name: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges : 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers

Publisher: Springer International Publishing A&G

Publication Year: 2021

Subject: Intelligence (Ai) & Semantics, Probability & Statistics / General, Computer Vision & Pattern Recognition

Item Weight: 23.4 Oz

Type: Textbook

Subject Area: Mathematics, Computers

Item Length: 9.3 in

Author: Mihaela Pop

Item Width: 6.1 in

Series: Lecture Notes in Computer Science Ser.

Format: Trade Paperback

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