Colorectal Cancer Image Segmentation and Classification with Deep Neural Network Based on Information Theory.
Hwa-Rang KimKwang-Ju KimKil-Taek LimDoo-Hyun ChoiPublished in: BIBM (2020)
Keyphrases
- information theory
- information theoretic
- image segmentation
- statistical learning
- jensen shannon divergence
- colorectal cancer
- statistical mechanics
- feature selection
- decision trees
- graph cuts
- support vector
- support vector machine
- conditional entropy
- neural network
- pairwise
- image processing
- image analysis
- model selection
- segmentation algorithm
- feature extraction
- relative entropy
- shannon entropy