Mammographic mass segmentation algorithm based on automatic random walks
Hao Ying · Journal of Zhejiang University(Engineering Science) · 2011
A mammographic mass segmentation algorithm based on automatic random walks algorithm was presented in order to overcome the interference of the weak edge and surrounding tissues on mass segmentation in mammograms.Two-dimensional maximum entropy threshold,region growing algorithm and morphological method were used to automatically get a series of labels.Then the evaluation method of average edge gradient was used to select the effective labels for random walks segmentation,and the initial segmentation results were obtained;the spiculation pattern was also detected based on such segmentation results.The complete segmentation contour for mass was achieved.227 images containing mass were randomly selected for segmentation.Then feature extraction and classification were implemented based on the segmentation results.Experimental results show that the algorithm overcomes the application limitation of semi-automatic random walks algorithm,and improves the accuracy of segmentation.The algorithm achieves higher classification accuracy compared with other segmentation algorithms for mass.