Automated Breast Density Assessment using Image Processing Techniques

Breast density estimation with visual evaluation is still challenging due to low contrast and significant fluctuations in the mammograms' fatty tissue background. Therefore, breast density classification's primary key is correctly detecting the dense tissues in mammographic images. This research proposed an automated breast density segmentation technique using image processing techniques. The proposed technique successfully removes the pictorial muscle and traces the dense tissue of both the images of MIAS and INbreast.