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An Automatic Bone Disorder Classification Using Hybrid Texture Feature Extraction with Bone Mineral Density
A novel approach has been proposed to classify bone disorders for classifying the radiographic bone image as normal, Osteopenia and Osteoporosis. The proposed system consists of three major stages to predict the accurate bone disorder classification. In the first stage, image preprocessing is perfor...
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| Wydane w: | Asian Pac J Cancer Prev |
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| Główni autorzy: | , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
West Asia Organization for Cancer Prevention
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6428536/ https://ncbi.nlm.nih.gov/pubmed/30583678 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.31557/APJCP.2018.19.12.3517 |
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