Texture-preserving low dose CT image denoising using Pearson divergence

The mean squared error (MSE), also known as loss, has been widely used as a loss function to optimize image denoising models due to its strong performance as a mean estimator of the Gaussian noise model. Recently, various low-dose computed tomography (LDCT) image denoising methods using deep learnin...

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Veröffentlicht in:	Physics in medicine & biology 2024-06, Vol.69 (11), p.115021
Hauptverfasser:	Oh, Jieun, Wu, Dufan, Hong, Boohwi, Lee, Dongheon, Kang, Minwoong, Li, Quanzheng, Kim, Kyungsang
Format:	Artikel
Sprache:	eng
Schlagworte:	Deep Learning denoising Humans Image Processing, Computer-Assisted - methods low dose CT Pearson divergence Radiation Dosage Signal-To-Noise Ratio texture Tomography, X-Ray Computed - methods
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