Learning multispectral texture features for cervical cancer detection.
Yanxi LiuTong ZhaoJiayong ZhangPublished in: ISBI (2002)
Keyphrases
- multispectral
- cancer detection
- texture features
- rotation invariant
- image data
- shape features
- remote sensing
- unsupervised learning
- remote sensing images
- gabor filters
- texture analysis
- feature vectors
- feature extraction
- infrared
- input image
- high quality
- high dimensional
- decision trees
- similarity measure
- texture images
- spatial resolution
- multiscale
- texture classification
- high resolution
- image features
- learning algorithm
- distance measure
- co occurrence