Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.
Journal:
Clinical cancer research : an official journal of the American Association for Cancer Research
Published Date:
Oct 21, 2019
Abstract
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.
Authors
Keywords
Adult
Aged
Aged, 80 and over
Algorithms
Area Under Curve
Biopsy
Deep Learning
Disease Progression
Female
Follow-Up Studies
Humans
Image Processing, Computer-Assisted
Male
Melanoma
Middle Aged
Neoplasm Recurrence, Local
Neural Networks, Computer
Retrospective Studies
Risk Factors
Staining and Labeling
Survival Rate
Young Adult