Abstract
The work in this paper focuses on the automatic detection of masses in digital mammograms. The proposed system consists of two main stages; the first stage is the breast segmentation to remove the background and labels. The second stage is to determine the masses region. The proposed method utilizes the correlation between a typical mass region and the mammogram image in order to determine and extract the suspicious region in the tested image. The system is developed and evaluated with 116 mammogram images from the mammographic image analysis society (MIAS) Dataset. The results show that the proposed algorithm has a sensitivity of 89.30% for mass detection, and the classification accuracy rate reach 94.66%.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
