SDAE-GAN: Enable high-dimensional pathological images in liver cancer survival prediction with a policy gradient based data augmentation method.
Hejun WuRong GaoYeong Poh ShengBo ChenShuo LiPublished in: Medical Image Anal. (2020)
Keyphrases
- input data
- image data
- segmentation method
- user input
- data sets
- noisy data
- test images
- similarity measure
- high dimensional
- image analysis
- input image
- survival prediction
- raw data
- segmentation algorithm
- data points
- data analysis
- model selection
- support vector machine
- statistical methods
- image retrieval
- pixel values
- training data
- statistical analysis
- high dimensional data
- edge detection
- region of interest
- gene selection