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Left Atrial and Scar Quantification and Segmentation

First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

  • Conference proceedings
  • © 2023

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Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13586)

Included in the following conference series:

Conference proceedings info: LAScarQS 2022.

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About this book

This book constitutes the First Left Atrial and Scar Quantification and Segmentation Challenge, LAScarQS 2022, which was held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, in Singapore, in September 2022.

The 15 papers presented in this volume were carefully reviewed and selected form numerous submissions. The aim of the challenge is not only benchmarking various LA scar segmentation algorithms, but also covering the topic of general cardiac image segmentation, quantification, joint optimization, and model generalization, and raising discussions for further technical development and clinical deployment.

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Keywords

Table of contents (15 papers)

Other volumes

  1. Left Atrial and Scar Quantification and Segmentation

Editors and Affiliations

  • Fudan University, Shanghai, China

    Xiahai Zhuang, Sihan Wang

  • University of Oxford, Oxford, UK

    Lei Li, Fuping Wu

Bibliographic Information

  • Book Title: Left Atrial and Scar Quantification and Segmentation

  • Book Subtitle: First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

  • Editors: Xiahai Zhuang, Lei Li, Sihan Wang, Fuping Wu

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-31778-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-31777-4Published: 05 May 2023

  • eBook ISBN: 978-3-031-31778-1Published: 04 May 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 164

  • Number of Illustrations: 11 b/w illustrations, 72 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics

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