Deep learning based on standard H&E images of primary melanoma tumors identifies patients at risk for visceral recurrence and death

PURPOSE: Biomarkers for disease specific survival (DSS) in early stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep neural network architecture for DSS prediction. EXPERIMENTAL D...

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Publicado no:Clin Cancer Res
Main Authors: Kulkarni, Prathamesh M., Robinson, Eric J., Pradhan, Jaya Sarin, Gartrell-Corrado, Robyn D., Rohr, Bethany, Trager, Megan H., Geskin, Larisa J., Kluger, Harriet, Wong, Pok Fai, Acs, Balazs, Rizk, Emanuelle, Yang, Chen, Mondal, Manas, Moore, Michael, Osman, Iman, Phelps, Robert, Horst, Basil, Chen, Zhe, Ferringer, Tammie, Rimm, David, Wang, Jing, Saenger, Yvonne
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8142811/
https://ncbi.nlm.nih.gov/pubmed/31636101
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/1078-0432.CCR-19-1495
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