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Deep supervision and atrous inception-based U-Net combining CRF for automatic liver segmentation from CT
Due to low contrast and the blurred boundary between liver tissue and neighboring organs sharing similar intensity values, the problem of liver segmentation from CT images has not yet achieved satisfactory performance and remains a challenge. To alleviate these problems, we introduce deep supervisio...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550798/ https://www.ncbi.nlm.nih.gov/pubmed/36216965 http://dx.doi.org/10.1038/s41598-022-21562-0 |