LCC-Net: A Lightweight Cross-Consistency Network for Semisupervised Cardiac MR Image Segmentation

Semantic segmentation plays a crucial role in cardiac magnetic resonance (MR) image analysis. Although supervised deep learning methods have made significant performance improvements, they highly rely on a large amount of pixel-wise annotated data, which are often unavailable in clinical practices....

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Detalles Bibliográficos
Autores principales: Song, Lai, Yi, Jiajin, Peng, Jialin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143880/
https://www.ncbi.nlm.nih.gov/pubmed/34055042
http://dx.doi.org/10.1155/2021/9960199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8143880/
https://www.ncbi.nlm.nih.gov/pubmed/34055042
http://dx.doi.org/10.1155/2021/9960199

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