Improved threshold based and trainable fully automated segmentation for breast cancer boundary and pectoral muscle in mammogram images

• Main Authors: Zebari, Dilovan Asaad, Zeebaree, Diyar Qader, Abdulazeez, Adnan Mohsin, Haron, Habibollah, Abdull Hamed, Haza Nuzly
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/91224/; http://dx.doi.org/10.1109/ACCESS.2020.3036072

Segmentation of the breast region and pectoral muscle are fundamental subsequent steps in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region and pectoral muscle are considered a difficult task, particularly in mammogram images because of artefacts, homogeneity among...