Automated detection and quantification of breast cancer brain metastases in an animal model using democratized machine learning tools

Advances in digital whole-slide imaging and machine learning (ML) provide new opportunities for automated examination and quantification of histopathological slides to support pathologists and biologists. However, implementation of ML tools often requires advanced skills in computer science that may...

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Detalles Bibliográficos
Autores principales: Sikpa, Dina, Fouquet, Jérémie P., Lebel, Réjean, Diamandis, Phedias, Richer, Maxime, Lepage, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874643/
https://www.ncbi.nlm.nih.gov/pubmed/31758004
http://dx.doi.org/10.1038/s41598-019-53911-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874643/
https://www.ncbi.nlm.nih.gov/pubmed/31758004
http://dx.doi.org/10.1038/s41598-019-53911-x

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