Automatic Analysis of HER-2/neu Immunohistochemistry in Breast Cancer
Chuan‐Yu Chang, Ya-Chi Huang, Chien-Chuan Ko · 2012
Breast cancer is the second most common cancer in females, after lung cancer in the world. In Taiwan, there are about 7500 female suffering from breast cancer every year. The incidence of breast cancer has exceeded cervical cancer and has become the most common female cancer. Immunohistochemistry (IHC) image is widely applied to the diagnosis of breast cancer, but it requires a great deal of manpower and time. Therefore, in this paper, we proposed a method to assess the grade of breast cancer in IHC images. The proposed method consists of four steps, including ROI extraction, feature extraction, feature selection, and a SVM classifier. According to the experimental results, the proposed method can automatically and effectively asses the score of IHC images.