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Deep structured residual encoder-decoder network with a novel loss function for nuclei segmentation of kidney and breast histopathology images
To improve the process of diagnosis and treatment of cancer disease, automatic segmentation of haematoxylin and eosin (H & E) stained cell nuclei from histopathology images is the first step in digital pathology. The proposed deep structured residual encoder-decoder network (DSREDN) focuses on t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809220/ https://www.ncbi.nlm.nih.gov/pubmed/35125928 http://dx.doi.org/10.1007/s11042-021-11873-1 |