Impact of deep learning-based image super-resolution on binary signal detection

Purpose: Deep learning-based image super-resolution (DL-SR) has shown great promise in medical imaging applications. To date, most of the proposed methods for DL-SR have only been assessed using traditional measures of image quality (IQ) that are commonly employed in the field of computer vision. Ho...

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Detalles Bibliográficos
Autores principales: Zhang, Xiaohui, Kelkar, Varun A., Granstedt, Jason, Li, Hua, Anastasio, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Image Perception, Observer Performance, and Technology Assessment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594450/
https://www.ncbi.nlm.nih.gov/pubmed/34796251
http://dx.doi.org/10.1117/1.JMI.8.6.065501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8594450/
https://www.ncbi.nlm.nih.gov/pubmed/34796251
http://dx.doi.org/10.1117/1.JMI.8.6.065501

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