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Assessing the Impact of Deep Neural Network-Based Image Denoising on Binary Signal Detection Tasks
A variety of deep neural network (DNN)-based image denoising methods have been proposed for use with medical images. Traditional measures of image quality (IQ) have been employed to optimize and evaluate these methods. However, the objective evaluation of IQ for the DNN-based denoising methods remai...
Autores principales: | Li, Kaiyan, Zhou, Weimin, Li, Hua, Anastasio, Mark A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8673589/ https://www.ncbi.nlm.nih.gov/pubmed/33929958 http://dx.doi.org/10.1109/TMI.2021.3076810 |
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