A Review of Ground Glass Opacity Detection Methods in Lung CT Images

Author(s): Lv Linying, Liu Xiabi, Zhou Chunwu, Zhao Xinming, Zhao Yanfeng.

Journal Name: Current Medical Imaging

Volume 13 , Issue 1 , 2017

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Abstract:

The automatic detection of Ground-Glass Opacity (GGO) in lung CT images is very useful for early diagnosis of lung cancers. In this paper, we present a study of previous GGO detection methods and summarize a common algorithm framework, which includes three components: preprocessing, candidate extraction and GGO identification. For each component, we discuss the main methods. Also we further describe the evaluation criterion and provide a comparison of the performance of the existing approaches.

Keywords: Lung CT images, Imaging signs, GGO nodule, GGO detection, Medical imaging, Computer aided detection (CAD).

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Article Details

VOLUME: 13
ISSUE: 1
Year: 2017
Page: [20 - 31]
Pages: 12
DOI: 10.2174/1573405612666160606104405
Price: $58

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