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Pixel N-grams for Mammograms ClassificationPublished in
2016
Volume: 45
Content may be subject to copyright.
About the journal
| Journal | Annual Fedderation University Conference |
|---|
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
