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Analysis and Comparison of Co-occurrence Matrix and Pixel N-gram Features for Mammographic ImagesPublished in
2017
Issue: June 2015
Pages: 7 - 14
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About the journal
| Journal | International Conference on Communication and Computing, Banglore, INDIA |
|---|---|
| Open Access | No |
Authors (1)
Pradnya Siddhivinayak Kulkarni- Fine Grained Classification of Mammographic Lesions using Pixel N-grams
- Extraction of toluene and n- heptane mixture using ionic liquid Aliquat 336 and mathematical modeling for solvent selection
- Texture feature extraction and classification by combining statistical and neural based technique for efficient CBIR
- Pixel N-grams for mammographic lesion classification
