Performance Evaluation of a CAD System for Detecting Masses on Mammograms by Using the MIAS Database
作者： Takuji Iwase , Hiroshi Fujita , Tokiko Endo , Shenglan Li , Yuji Hatanaka
关键词:
摘要: Since the evaluation is influenced by case selection, it necessary to apply some common databases in performance evaluation. To evaluate our computer-aided diag- nosis (CAD) system for detecting masses, 320 images from Mammogaphy Image Analy- sis Society (MIAS) database UK were applied this study. Our algorithm masses was based on a standard adaptive thresholding technique which had been developed group. However, preliminary result not as well those Japanese database. After we adjusted values of system, 90% sensitivity with 0.8 false positive (FP) achieved indicated that scheme effective different both Japan and UK. Moreover, differences between MIAS Japa- nese also discussed.
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