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Segmentation of Mammogram Abnormalities Using Ant System Based Contour Clustering Algorithm
2022
TAGA Journal
The Computer-Aided Detection Systems (CADs) can locate and identify the normal and pathological tissues in mammogram images by segmentation. The existing segmentation methods have to test each and every pixel of the image at least once, which is computationally expensive. Objective: This research focuses on detection of microcalcifications from the digital mammograms by segmentation, where the abnormal tissues are segmented from the normal tissues. Methods: To detect microcalcifications from
doi:10.37896/pd91.4/91426
fatcat:qrs327mc5zhebgsmk2vrgvcqeu