High-accuracy prostate cancer pathology using deep learning.

Yuri Tolkach Tilmann Dohmgörgen Marieta Toma Glen Kristiansen

Published in: Nat. Mach. Intell. (2020)

Keyphrases

deep learning
prostate cancer
computer aided
unsupervised learning
image guided
mr images
machine learning
weakly supervised
unsupervised feature learning
medical image analysis
mental models
magnetic resonance spectroscopy
radiation therapy
natural images
active learning
multiscale
image processing