A probabilistic approach for interpretable deep learning in liver cancer diagnosis.
Clinton J. WangCharlie A. HammBrian S. LetzenJames S. DuncanPublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- deep learning
- cancer diagnosis
- unsupervised learning
- probabilistic model
- lung cancer
- microarray
- gene expression data
- machine learning
- bayesian networks
- gene selection
- mental models
- computer vision
- cancer classification
- generative model
- data preprocessing
- model selection
- gene expression profiles
- similarity measure
- clustering algorithm
- lymph nodes