False positive reduction for ground glass opacities in CT by feature analysis based on a multiple region extraction technique

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.