2023
DOI: 10.3390/app131910679
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Optimization of Median Modified Wiener Filter for Improving Lung Segmentation Performance in Low-Dose Computed Tomography Images

Sewon Lim,
Minji Park,
Hajin Kim
et al.

Abstract: In low-dose computed tomography (LDCT), lung segmentation effectively improves the accuracy of lung cancer diagnosis. However, excessive noise is inevitable in LDCT, which can decrease lung segmentation accuracy. To address this problem, it is necessary to derive an optimized kernel size when using the median modified Wiener filter (MMWF) for noise reduction. Incorrect application of the kernel size can result in inadequate noise removal or blurring, degrading segmentation accuracy. Therefore, various kernel s… Show more

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Cited by 2 publications
(1 citation statement)
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“…MTF measures the extent of signal attenuation in various spatial frequency bands within an image and is used to evaluate image sharpness [37]. PSNR quantifies the difference between the original image and a noise-contaminated image, with higher values indicating reduced noise [38]. Furthermore, SSIM is used to gauge structural similarity between the original image and a noise-reduced image, mimicking human visual system responses [39].…”
Section: Discussionmentioning
confidence: 99%
“…MTF measures the extent of signal attenuation in various spatial frequency bands within an image and is used to evaluate image sharpness [37]. PSNR quantifies the difference between the original image and a noise-contaminated image, with higher values indicating reduced noise [38]. Furthermore, SSIM is used to gauge structural similarity between the original image and a noise-reduced image, mimicking human visual system responses [39].…”
Section: Discussionmentioning
confidence: 99%