Quantitative analysis of fast non-local means algorithm smoothing factor impact on lung segmentation accuracy in computed tomography images-Reference-Cited by-同舟云学术

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Quantitative analysis of fast non-local means algorithm smoothing factor impact on lung segmentation accuracy in computed tomography images

Published:2024-05 Issue: Volume:218 Page:111645
ISSN:0969-806X
Container-title:Radiation Physics and Chemistry
language:en
Short-container-title:Radiation Physics and Chemistry

Author:

Lim Sewon,Park Minji,Kim Hajin,Kang Seong-Hyeon,Lee Youngjin

Funder

Gachon University

National Research Foundation of Korea

Publisher

Elsevier BV

Reference31 articles.

1. Application of three-dimensional computed tomography in craniofacial clinical practice and research;Anderson;Aust. Dent. J.,2014

2. Optimum parameter estimation for non-local means image de-noising using corner information;Avanaki,2008

3. Lung segmentation from CT with severe pathologies using anatomical constraints;Birkbeck;Med Image Comput Comput Assist Interv,2014

4. A non-local algorithm for image denoising;Buades,2005

5. FogBank: a single-cell segmentation across multiple cell lines and image modalities;Chalfoun;BMC Bioinf.,2014

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