Automated detection of cribriform growth patterns in prostate histology images

Cribriform growth patterns in prostate carcinoma are associated with poor prognosis. We aimed to introduce a deep learning method to detect such patterns automatically. To do so, convolutional neural network was trained to detect cribriform growth patterns on 128 prostate needle biopsies. Ensemble l...

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Detalles Bibliográficos
Autores principales: Ambrosini, Pierre, Hollemans, Eva, Kweldam, Charlotte F., Leenders, Geert J. L. H. van, Stallinga, Sjoerd, Vos, Frans
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7483768/
https://www.ncbi.nlm.nih.gov/pubmed/32913202
http://dx.doi.org/10.1038/s41598-020-71942-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7483768/
https://www.ncbi.nlm.nih.gov/pubmed/32913202
http://dx.doi.org/10.1038/s41598-020-71942-7

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