Interpretable survival prediction for colorectal cancer using deep learning.
Ellery WulczynDavid F. SteinerMelissa MoranMarkus PlassRobert ReihsFraser TanIsabelle Flament-AuvigneTrissia BrownPeter RegitnigPo-Hsuan Cameron ChenNarayan HegdeApaar SadhwaniRobert MacDonaldBenny AyalewGregory S. CorradoLily H. PengDaniel TseHeimo MüllerZhaoyang XuYun LiuMartin C. StumpeKurt ZatloukalCraig H. MermelPublished in: npj Digit. Medicine (2021)
Keyphrases
- deep learning
- colorectal cancer
- survival prediction
- lung cancer
- gene expression
- unsupervised learning
- gene selection
- machine learning
- unsupervised feature learning
- mental models
- deep architectures
- weakly supervised
- neural network
- pattern recognition
- microarray data
- data sets
- reinforcement learning
- image segmentation
- supervised learning
- viewpoint
- high dimensional
- pairwise