Classifying Digital Mammogram Masses Using Univariate ANOVA Discriminant Analysis
B. Surendiran, Y. Sundaraiah, A. Vadivel · 2009
An Univariate Analysis Of Variance (ANOVA) Discriminant Analysis (DA) classifier is proposed for classifying the masses present in mammogram. This approach combines the 19 shape properties of the mass regions and classifies the masses as benign or malignant using Univariate ANOVA. The experiment is performed on DDSM database images. Experimental results shows that the proposed method reaches high classification accuracy in compared to existing algorithms.