机构:
Hebei Univ Engn, Handan, Peoples R ChinaHebei Univ Engn, Handan, Peoples R China
Zhou Yan
[1
]
Han Yanzhen
论文数: 0引用数: 0
h-index: 0
机构:
Hebei Univ Engn, Handan, Peoples R ChinaHebei Univ Engn, Handan, Peoples R China
Han Yanzhen
[1
]
Yang Peng
论文数: 0引用数: 0
h-index: 0
机构:
Minist Educ, Key Lab Comp Vis & Syst, Tianjin, Peoples R ChinaHebei Univ Engn, Handan, Peoples R China
Yang Peng
[2
]
机构:
[1] Hebei Univ Engn, Handan, Peoples R China
[2] Minist Educ, Key Lab Comp Vis & Syst, Tianjin, Peoples R China
来源:
IITAW: 2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATIONS WORKSHOPS
|
2009年
关键词:
based cancer;
diagnosis;
algorithm;
classification;
AIDED DIAGNOSIS;
MAMMOGRAMS;
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
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.
引用
收藏
页码:59 / +
页数:3
相关论文
共 5 条
[1]
Carnimeo L., 2006, WSEAS Transactions on Systems, V5, P1595