Classifying Masses as Benign or Malignant Based on Co-occurrence Matrix Textures: A Comparison Study of Different Gray Level Quantizations.
Gobert N. LeeTakeshi HaraHiroshi FujitaPublished in: Digital Mammography / IWDM (2006)
Keyphrases
- co occurrence
- gray level
- texture images
- texture features
- gray scale
- similarity matrix
- texture analysis
- wordnet
- gray level images
- gray value
- low contrast
- pixel values
- run length
- texture information
- contrast enhancement
- singular value decomposition
- semantic relations
- texture classification
- named entities
- semantic similarity
- latent semantic analysis
- image contrast enhancement
- information retrieval
- binary images
- topic models
- black and white
- probabilistic latent semantic analysis
- local binary pattern
- probabilistic model
- color images
- feature vectors
- multiscale
- feature selection
- search engine
- textural features
- word co occurrence
- data mining
- occurrence frequency