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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....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Materias: | |
| 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 |