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Computer-aided Prostate Cancer Detection using Texture Features and Clinical Features in Ultrasound Image
In this paper, we propose a new prostate detection method using multiresolution autocorrelation texture features and clinical features such as location and shape of tumor. With the proposed method, we can detect cancerous tissues efficiently with high specificity (about 90–95%)and high sensitivity (...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer-Verlag
2008
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3043871/ https://ncbi.nlm.nih.gov/pubmed/18322751 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-008-9106-3 |
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