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A deep learning‐ and partial least square regression‐based model observer for a low‐contrast lesion detection task in CT
PURPOSE: This work aims to develop a new framework of image quality assessment using deep learning‐based model observer (DL‐MO) and to validate it in a low‐contrast lesion detection task that involves CT images with patient anatomical background. METHODS: The DL‐MO was developed using the transfer l...
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| Publicado no: | Med Phys |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6510615/ https://ncbi.nlm.nih.gov/pubmed/30889282 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13500 |
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