Usability of deep learning and H&E images predict disease outcome-emerging tool to optimize clinical trials

Understanding factors that impact prognosis for cancer patients have high clinical relevance for treatment decisions and monitoring of the disease outcome. Advances in artificial intelligence (AI) and digital pathology offer an exciting opportunity to capitalize on the use of whole slide images (WSI...

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Detalles Bibliográficos
Autores principales: Qaiser, Talha, Lee, Ching-Yi, Vandenberghe, Michel, Yeh, Joe, Gavrielides, Marios A., Hipp, Jason, Scott, Marietta, Reischl, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200764/
https://www.ncbi.nlm.nih.gov/pubmed/35705792
http://dx.doi.org/10.1038/s41698-022-00275-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9200764/
https://www.ncbi.nlm.nih.gov/pubmed/35705792
http://dx.doi.org/10.1038/s41698-022-00275-7

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