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Massive-training support vector regression and Gaussian process for false-positive reduction in computer-aided detection of polyps in CT colonography
Purpose: A massive-training artificial neural network (MTANN) has been developed for the reduction of false positives (FPs) in computer-aided detection (CADe) of polyps in CT colonography (CTC). A major limitation of the MTANN is the long training time. To address this issue, the authors investigate...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Association of Physicists in Medicine
2011
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3069995/ https://ncbi.nlm.nih.gov/pubmed/21626922 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.3562898 |
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