Automatic detection of malignant tumors on mammogram
Hidefumi Kobatake, Yukiyasu Yoshinaga, Masayuki Murakami · 2002
The automated detection system consists of two processing steps. The first processing is to enhance cancerous tumors. For the purpose, the adaptive iris filter has been developed, which can enhance only rounded opacities and is insensitive to long and slender shadows. The second one is to discriminate between malignant tumors and the others by applying shape analysis to the tumor candidates. Nine feature parameters have been developed for reliable identification of malignant tumors. Experiments to test the performance of the proposed system have been made. The average number of false positives per image is only 0.18 where the true positive detection rate is 100%. These experimental results have shown the effectiveness of the proposed system. >