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Cupping artifact correction and automated classification for high-resolution dedicated breast CT images

Purpose: To develop and test an automated algorithm to classify the different tissues present in dedicated breast CT images. Methods: The original CT images are first corrected to overcome cupping artifacts, and then a multiscale bilateral filter is used to reduce noise while keeping edge informatio...

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Main Authors: Yang, Xiaofeng, Wu, Shengyong, Sechopoulos, Ioannis, Fei, Baowei
格式: Artigo
語言:Inglês
出版: American Association of Physicists in Medicine 2012
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC3477198/
https://ncbi.nlm.nih.gov/pubmed/23039675
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4754654
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