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

CONCLUSIONS: The novel method presented is applicable to digital images, obviating the need for sample shipment and manipulation and representing a practical advance over current genetic and IHC-based methods.
PMID: 31636101 [PubMed - as supplied by publisher]

Source: Clinical Cancer Research - October 20, 2019 Category: Cancer & Oncology Authors: Kulkarni PM, Robinson EJ, Sarin Pradhan J, Gartrell-Corrado RD, Rohr BR, Trager MH, Geskin LJ, Kluger HM, Wong PF, Acs B, Rizk EM, Yang C, Mondal M, Moore MR, Osman I, Phelps R, Horst BA, Chen ZS, Ferringer T, Rimm DL, Wang J, Saenger YM Tags: Clin Cancer Res Source Type: research