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MSAL-Net: improve accurate segmentation of nuclei in histopathology images by multiscale attention learning network
BACKGROUND: The digital pathology images obtain the essential information about the patient’s disease, and the automated nuclei segmentation results can help doctors make better decisions about diagnosing the disease. With the speedy advancement of convolutional neural networks in image processing,...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978355/ https://www.ncbi.nlm.nih.gov/pubmed/35379228 http://dx.doi.org/10.1186/s12911-022-01826-5 |