Diagnostic System of Breast Cancer based on Imaging Data of Mammography using Fuzzy Logic
Seizaburo Arita, Tsunehisa Nomura, Hiroshi Sonoo · 2006
The number of patients with breast cancer is recently increasing in Japan. It is very important to find the patients quickly with accuracy. In this paper, we deal with the imaging data of the mammography of 40 patients concerning with the breast cancer and analyze the clinical finding. We synthesize the diagnostic system of beast cancer based on evaluation of findings of the mammography using the Fuzzy inference. From the application of this system to clinical cases, it was suggested that this system was effective to judge whether mass or benign.