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,...

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Detalles Bibliográficos
Autores principales: Ali, Haider, Haq, Imran ul, Cui, Lei, Feng, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
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

Internet

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

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