AtrialJSQnet: A New framework for joint segmentation and quantification of left atrium and scars incorporating spatial and shape information

Author:

Li Lei,Zimmer Veronika A.,Schnabel Julia A.,Zhuang Xiahai

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference59 articles.

1. Distance transform regression for spatially-aware deep semantic segmentation;Audebert;Comput. Vision Image Understanding,2019

2. A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI;Avendi;Med. Image Anal.,2016

3. Linear time euclidean distance transform algorithms;Breu;IEEE Trans. Pattern Anal. Mach.Intell.,1995

4. Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge;Campello;IEEE Trans. Med. Imaging,2021

5. Multi-task learning for left atrial segmentation on GE-MRI;Chen,2018

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