Left Ventricle Segmentation in Cardiac MR Images via an Improved ResUnet

Cardiovascular diseases are reported as the leading cause of death around the world. Automatic segmentation of the left ventricle (LV) from magnetic resonance (MR) images is essential for an early diagnosis. An enhanced ResUnet is proposed in this paper to improve the performance of extracting LV en...

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Detalles Bibliográficos
Autores principales: Xu, Shengzhou, Lu, Haoran, Cheng, Shiyu, Pei, Chengdan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286995/
https://www.ncbi.nlm.nih.gov/pubmed/35846793
http://dx.doi.org/10.1155/2022/8669305

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9286995/
https://www.ncbi.nlm.nih.gov/pubmed/35846793
http://dx.doi.org/10.1155/2022/8669305

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