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Hybrid Technique Based on N-GRAM and Neural Networks for Classification of Mammographic ImagesPublished in
2014
Pages: 297 - 306
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About the journal
| Journal | International Conference on Signal, Image processing and Pattern Recognition {\ldots} |
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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
