Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning

BACKGROUND: Presence of lymph node metastasis (LNM) influences prognosis and clinical decision-making in colorectal cancer. However, detection of LNM is variable and depends on a number of external factors. Deep learning has shown success in computational pathology, but has struggled to boost perfor...

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Detalles Bibliográficos
Autores principales: Krogue, Justin D., Azizi, Shekoofeh, Tan, Fraser, Flament-Auvigne, Isabelle, Brown, Trissia, Plass, Markus, Reihs, Robert, Müller, Heimo, Zatloukal, Kurt, Richeson, Pema, Corrado, Greg S., Peng, Lily H., Mermel, Craig H., Liu, Yun, Chen, Po-Hsuan Cameron, Gombar, Saurabh, Montine, Thomas, Shen, Jeanne, Steiner, David F., Wulczyn, Ellery
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125969/
https://www.ncbi.nlm.nih.gov/pubmed/37095223
http://dx.doi.org/10.1038/s43856-023-00282-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10125969/
https://www.ncbi.nlm.nih.gov/pubmed/37095223
http://dx.doi.org/10.1038/s43856-023-00282-0

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