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Lymph node detection in MR Lymphography: false positive reduction using multi-view convolutional neural networks
PURPOSE: To investigate whether multi-view convolutional neural networks can improve a fully automated lymph node detection system for pelvic MR Lymphography (MRL) images of patients with prostate cancer. METHODS: A fully automated computer-aided detection (CAD) system had been previously developed...
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| Veröffentlicht in: | PeerJ |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
PeerJ Inc.
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6876485/ https://ncbi.nlm.nih.gov/pubmed/31772836 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.8052 |
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