Title :
Breast lesion classification on MRI by texture features
Author :
Pang, Yachun ; Shao, Yuanzhi ; Li, Li
Author_Institution :
State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics and Engineering, Sun Yat-sen University, Guangzhou, China
Abstract :
To explore the association between the texture feature and the lesions classification on breast MRI, we used a sixty-one biopsy-proven lesions database, using the Fisher stepwise discriminant analysis and logistic regression models.
Keywords :
Accuracy; Analytical models; Breast; Cancer; Entropy; Lesions; Logistics; Fisher stepwise discriminant analysis; GLCM texture features; breast MRI; logistic regression;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5690407
