A deep learning model to predict RNA-Seq expression of tumours from whole slide images

Deep learning methods for digital pathology analysis are an effective way to address multiple clinical questions, from diagnosis to prediction of treatment outcomes. These methods have also been used to predict gene mutations from pathology images, but no comprehensive evaluation of their potential...

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Detalles Bibliográficos
Autores principales: Schmauch, Benoît, Romagnoni, Alberto, Pronier, Elodie, Saillard, Charlie, Maillé, Pascale, Calderaro, Julien, Kamoun, Aurélie, Sefta, Meriem, Toldo, Sylvain, Zaslavskiy, Mikhail, Clozel, Thomas, Moarii, Matahi, Courtiol, Pierre, Wainrib, Gilles
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/PMC7400514/
https://www.ncbi.nlm.nih.gov/pubmed/32747659
http://dx.doi.org/10.1038/s41467-020-17678-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400514/
https://www.ncbi.nlm.nih.gov/pubmed/32747659
http://dx.doi.org/10.1038/s41467-020-17678-4

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