Retrieval of pathology image for breast cancer using PLSA model based on texture and pathological features.
Yushan ZhengZhiguo JiangJun ShiYibing MaPublished in: ICIP (2014)
Keyphrases
- breast cancer
- image features
- textural features
- image retrieval
- low level visual features
- visual features
- color features
- breast tissue
- image analysis
- image data
- input image
- cad systems
- benign and malignant
- early detection
- breast cancer diagnosis
- mammogram images
- image classification
- multiscale
- image segmentation
- spatial information
- edge detection
- co occurrence
- texture analysis
- computer aided diagnosis
- feature extraction
- computer aided
- diagnosis of breast cancer
- color histogram
- region of interest
- segmentation accuracy
- medical image retrieval
- segmentation method
- gray level
- feature set
- bladder cancer
- survival analysis
- machine learning
- computer aided detection
- texture features
- text classification