The Study of Mammary Disease CAD System
An X-ray image CAD (Computer Aided Diagnosis) system aiming at oriental females dense mammary gland is proposed. The system acquires assistant diagnosis result through the synthetic analysis of both direct and indirect symptoms of the mammary disease. In the detection and decision of the direct symptom, the system adds features of micro-calcification shape description and mass margin roughness rate to achieve preferable result. Besides, the self-study faction in the detection and decision model based on the machine learning arithmetic is well actualized by building up the large digital mammary disease photo & text database. The system is capable to provide clinic assistant diagnosis for the mammary doctor as a second X-ray image reader in order to improve the diagnostic accuracy and convenience and supply reliable data source for research purpose.
XU Xiang-min ZHOU Feng-le XIAO Yue
School of Electronic and Information Engineering, South China University of Technology Guangdong Guangzhou 510640 China
国际会议
北京
英文
680-683
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)