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HCCANet: histopathological image grading of colorectal cancer using CNN based on multichannel fusion attention mechanism
Histopathological image analysis is the gold standard for pathologists to grade colorectal cancers of different differentiation types. However, the diagnosis by pathologists is highly subjective and prone to misdiagnosis. In this study, we constructed a new attention mechanism named MCCBAM based on...
| 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/PMC9448811/ https://www.ncbi.nlm.nih.gov/pubmed/36068309 http://dx.doi.org/10.1038/s41598-022-18879-1 |