Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains

The application of deep learning for automated segmentation (delineation of boundaries) of histologic primitives (structures) from whole slide images can facilitate the establishment of novel protocols for kidney biopsy assessment. Here, we developed and validated deep learning networks for the segm...

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Detalles Bibliográficos
Autores principales: Jayapandian, Catherine P., Chen, Yijiang, Janowczyk, Andrew R., Palmer, Matthew B., Cassol, Clarissa A., Sekulic, Miroslav, Hodgin, Jeffrey B., Zee, Jarcy, Hewitt, Stephen M., O’Toole, John, Toro, Paula, Sedor, John R., Barisoni, Laura, Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414393/
https://www.ncbi.nlm.nih.gov/pubmed/32835732
http://dx.doi.org/10.1016/j.kint.2020.07.044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414393/
https://www.ncbi.nlm.nih.gov/pubmed/32835732
http://dx.doi.org/10.1016/j.kint.2020.07.044

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