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A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI
Computer-aided detection and diagnosis (CAD) systems have the potential to improve robustness and efficiency compared to traditional radiological reading of magnetic resonance imaging (MRI). Fully automated segmentation of the prostate is a crucial step of CAD for prostate cancer, but visual inspect...
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| I publikationen: | Diagnostics (Basel) |
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| Huvudupphovsmän: | , , , , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7555425/ https://ncbi.nlm.nih.gov/pubmed/32961895 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics10090714 |
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