ESA-UNet for assisted diagnosis of cardiac magnetic resonance image based on the semantic segmentation of the heart

BACKGROUND: Cardiovascular diseases have become the number one disease affecting human health in today's society. In the diagnosis of cardiac diseases, magnetic resonance image (MRI) technology is the most widely used one. However, in clinical diagnosis, the analysis of MRI relies on manual wor...

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Detalles Bibliográficos
Autores principales: Li, Yuanzhe, Liu, Zhiqiang, Lai, Qingquan, Li, Shuting, Guo, Yifan, Wang, Yi, Dai, Zhangsheng, Huang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645148/
https://www.ncbi.nlm.nih.gov/pubmed/36386384
http://dx.doi.org/10.3389/fcvm.2022.1012450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9645148/
https://www.ncbi.nlm.nih.gov/pubmed/36386384
http://dx.doi.org/10.3389/fcvm.2022.1012450

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