Title :
Computer Based Breast Cancer Diagnosis
Author :
Yan, Zhou ; Yanzhen, Han ; Peng, Yang
Author_Institution :
Hebei Univ. of Eng., Handan, China
Abstract :
Breast cancer is the second leading cause of cancer deaths among women and micro calcifications clusters are one of the most important indicators of breast disease. A Computer-Aided Diagnosis algorithm has been developed to assist radiologists in the diagnosis of mammographic clusters. Classification performance was evaluated with the diagnosis algorithm, and the final result looks great.
Keywords :
cancer; image classification; mammography; medical image processing; breast cancer; classification performance; computer-aided diagnosis algorithm; mammographic clusters diagnosis; micro calcifications clusters; radiologists; Biopsy; Breast cancer; Cancer detection; Clustering algorithms; Computer vision; Diseases; Lesions; Mammography; Support vector machine classification; Support vector machines; algorithm; based cancer; classification; diagnosis;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-6420-3
Electronic_ISBN :
978-1-4244-6421-0
DOI :
10.1109/IITAW.2009.83
