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Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings (Paperback, 1st ed. 2020) Loot Price: R1,506
Discovery Miles 15 060
Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - First Challenge, MyoPS 2020,...

Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images - First Challenge, MyoPS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings (Paperback, 1st ed. 2020)

Xiahai Zhuang, Lei Li

Series: Lecture Notes in Computer Science, 12554

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Loot Price R1,506 Discovery Miles 15 060 | Repayment Terms: R141 pm x 12*

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This book constitutes the First Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge, MyoPS 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in Lima, Peru, in October 2020. The challenge took place virtually due to the COVID-19 crisis.The 12 full and 4 short papers presented in this volume were carefully reviewed and selected form numerous submissions. This challenge aims not only to benchmark various myocardial pathology segmentation algorithms, but also to cover the topic of general cardiac image segmentation, registration and modeling, and raise discussions for further technical development and clinical deployment.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 12554
Release date: December 2020
First published: 2020
Editors: Xiahai Zhuang • Lei Li
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 177
Edition: 1st ed. 2020
ISBN-13: 978-3-03-065650-8
Categories: Books > Social sciences > General
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 3-03-065650-0
Barcode: 9783030656508

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