Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Prathamesh M KulkarniEric J RobinsonJaya Sarin PradhanRobyn D Gartrell-CorradoBethany R Rohr Megan H TragerLarisa J GeskinHarriet M KlugerPok Fai WongBalazs AcsEmanuelle M RizkChen YangManas MondalMichael R MooreIman OsmanRobert PhelpsBasil A HorstZhe Sage ChenTammie FerringerDavid L RimmJing WangYvonne M Saenger

Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2019)

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.

Keyphrases

deep learning
convolutional neural network
end stage renal disease
chronic kidney disease
ejection fraction
newly diagnosed
artificial intelligence
peritoneal dialysis
optical coherence tomography
prognostic factors
machine learning
insulin resistance
metabolic syndrome
adipose tissue
skin cancer