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Divide-and-Attention Network for HE-Stained Pathological Image Classification
SIMPLE SUMMARY: We propose a Divide-and-Attention network that can learn representative pathological image features with respect to different tissue structures and adaptively focus on the most important ones. In addition, we introduce deep canonical correlation analysis constraints in the feature fu...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9311575/ https://www.ncbi.nlm.nih.gov/pubmed/36101363 http://dx.doi.org/10.3390/biology11070982 |