A Novel Approach for Increased Convolutional Neural Network Performance in Gastric-Cancer Classification Using Endoscopic Images.
Sin-Ae LeeHyun Chin ChoHyun-chong ChoPublished in: IEEE Access (2021)
Keyphrases
- endoscopic images
- convolutional neural network
- cancer classification
- gene selection
- random forest
- microarray
- gene expression data
- microarray data
- endoscopic video
- face detection
- region of interest
- gene expression profiles
- feature selection
- gene expression
- brain tumors
- experimental conditions
- coronary artery
- feature set
- neural network
- detection method