Paper
6 April 2005 False positive reduction for ground glass opacities in CT by feature analysis based on a multiple region extraction technique
Minoru Harada, Hotaka Takizawa, Shinji Yamamoto, Tohru Matsumoto, Yukio Tateno, Takeshi Iinuma, Kunio Doi
Author Affiliations +
Abstract
In our previous method, thresholding for feature extraction was one of the biggest problems. We have developed two methods for obtaining the optimal threshold, but they are not enough to apply to all the cancers in CT. In this paper, we prepared about 9 thresholds and extracted features by using these thresholds. Then we applied a discriminate method using a subspace derived from the extracted feature metrices.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Minoru Harada, Hotaka Takizawa, Shinji Yamamoto, Tohru Matsumoto, Yukio Tateno, Takeshi Iinuma, and Kunio Doi "False positive reduction for ground glass opacities in CT by feature analysis based on a multiple region extraction technique", Proc. SPIE 5749, Medical Imaging 2005: Image Perception, Observer Performance, and Technology Assessment, (6 April 2005); https://doi.org/10.1117/12.594993
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KEYWORDS
Lung

Feature extraction

Cancer

Glasses

Image filtering

Opacity

Principal component analysis

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