Robustness of Deep Learning Algorithm to Varying Imaging Conditions in Detecting Low Contrast Objects in Computed Tomography Phantom Images: In Comparison to 12 Radiologists

The performance of deep learning algorithm (DLA) to that of radiologists was compared in detecting low contrast objects in CT phantom images under various imaging conditions. For training, 10,000 images were created using American College of Radiology CT phantom as the background. In half of the ima...

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Detalles Bibliográficos
Autores principales: Kim, Hae Young, Lee, Kyeorye, Chang, Won, Kim, Youngjune, Lee, Sungsoo, Oh, Dong Yul, Sunwoo, Leonard, Lee, Yoon Jin, Kim, Young Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997324/
https://www.ncbi.nlm.nih.gov/pubmed/33670866
http://dx.doi.org/10.3390/diagnostics11030410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7997324/
https://www.ncbi.nlm.nih.gov/pubmed/33670866
http://dx.doi.org/10.3390/diagnostics11030410

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