Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study

OBJECTIVE: Diagnostic tests, such as Immunoscore, predict prognosis in patients with colon cancer. However, additional prognostic markers could be detected on pathological slides using artificial intelligence tools. DESIGN: We have developed a software to detect colon tumour, healthy mucosa, stroma...

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Detalles Bibliográficos
Autores principales: Reichling, Cynthia, Taieb, Julien, Derangere, Valentin, Klopfenstein, Quentin, Le Malicot, Karine, Gornet, Jean-Marc, Becheur, Hakim, Fein, Francis, Cojocarasu, Oana, Kaminsky, Marie Christine, Lagasse, Jean Paul, Luet, Dominique, Nguyen, Suzanne, Etienne, Pierre-Luc, Gasmi, Mohamed, Vanoli, Andre, Perrier, Hervé, Puig, Pierre-Laurent, Emile, Jean-François, Lepage, Come, Ghiringhelli, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063404/
https://www.ncbi.nlm.nih.gov/pubmed/31780575
http://dx.doi.org/10.1136/gutjnl-2019-319292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063404/
https://www.ncbi.nlm.nih.gov/pubmed/31780575
http://dx.doi.org/10.1136/gutjnl-2019-319292

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