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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Pubblicato in:Clin Cancer Res
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2019
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Article
Accesso online: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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