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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Vydáno v:Med Phys
Hlavní autoři: Gong, Hao, Yu, Lifeng, Leng, Shuai, Dilger, Samantha K., Ren, Liqiang, Zhou, Wei, Fletcher, Joel G., McCollough, Cynthia H.
Médium: Artigo
Jazyk:Inglês
Vydáno: John Wiley and Sons Inc. 2019
Témata:
DIAGNOSTIC IMAGING (IONIZING AND NON‐IONIZING)
On-line přístup: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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