Left Atrial and Scar Quantification and Segmentation

Xiahai Zhuang

ISBN 10: 3031317777 / ISBN 13: 9783031317774

Published by Springer Nature Switzerland, Springer Nature Switzerland Mai 2023, 2023

About this Item

Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.

Seller Inventory # 9783031317774

Bibliographic Details

• Title: Left Atrial and Scar Quantification and Segmentation
• Publisher: Springer Nature Switzerland, Springer Nature Switzerland Mai 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 3031317777
• ISBN 13: 9783031317774
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 10D millimeters 235 millimeters width by 155 millimeters height by 10 millimeters depth
• Weight: 277 grams

About this title

Synopsis

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.