The auto segmentation for cardiac structures using a dual‐input deep learning network based on vision saliency and transformer

PURPOSE: Accurate segmentation of cardiac structures on coronary CT angiography (CCTA) images is crucial for the morphological analysis, measurement, and functional evaluation. In this study, we achieve accurate automatic segmentation of cardiac structures on CCTA image by adopting an innovative dee...

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Detalles Bibliográficos
Autores principales: Wang, Jing, Wang, Shuyu, Liang, Wei, Zhang, Nan, Zhang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121042/
https://www.ncbi.nlm.nih.gov/pubmed/35363415
http://dx.doi.org/10.1002/acm2.13597

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9121042/
https://www.ncbi.nlm.nih.gov/pubmed/35363415
http://dx.doi.org/10.1002/acm2.13597

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