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Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model
PURPOSE: In computer-aided detection of microcalcifications (MCs), the detection accuracy is often compromised by frequent occurrence of false positives (FPs), which can be attributed to a number of factors, including imaging noise, inhomogeneity in tissue background, linear structures, and artifact...
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| Publicado no: | Med Phys |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4691250/ https://ncbi.nlm.nih.gov/pubmed/26745908 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4938059 |
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