✦ LIBER ✦

Computer-aided diagnosis: A shape classification of pulmonary nodules imaged by high-resolution CT

✍ Scribed by Shingo Iwano; Tatsuya Nakamura; Yuko Kamioka; Takeo Ishigaki

Publisher: Elsevier Science
Year: 2005
Tongue: English
Weight: 285 KB
Volume: 29
Category: Article
ISSN: 0895-6111
DOI: 10.1016/j.compmedimag.2005.04.009

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✦ Synopsis

We investigated the possibility of using computer analysis of high-resolution CT images to radiologically classify the shape of pulmonary nodules. Using a combination of circularity and second moment as quantitative measures we were able to classify pulmonary nodules in each shape group as effectively as could a radiologist. We found that pulmonary nodules with circularity &0.75 and second moment &0.18 were very likely to reveal lung cancer.

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