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Pectoral muscle identification in mammograms for Computer Aided Diagnosis of breast cancer
Faculty
Engineering
Year:
2012
Type of Publication:
ZU Hosted
Pages:
Authors:
Shaymaa Ahmed Hassan Ahmmd
Staff Zu Site
Abstract In Staff Site
Journal:
2012 Cairo International Biomedical Engineering Conference (CIBEC) IEEE
Volume:
Keywords :
Pectoral muscle identification , mammograms , Computer Aided
Abstract:
In Computer Aided Diagnosis (CAD) systems of breast cancer, extraction of the breast region and delineation of the breast contour with the pectoral muscle being removed is an essential preprocessing step. Primarily it allows the search for abnormalities to be limited to the region of the breast without undue effect from the background of the mammogram. This paper presents a new method for the identification and removal of the pectoral muscle in medio-Iateral oblique (MLO) view of mammogram using iterative thresholding. Our algorithm also identifies the presence of abnormal axillary lymph nodes, which is a major sign of breast carcinoma, and detects the breast border.
Author Related Publications
Shaymaa Ahmed Hassan Ahmmd, "Detection of breast cancer mass using MSER detector and features matching", Springer, 2019
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Shaymaa Ahmed Hassan Ahmmd, "Breast cancer masses classification using deep convolutional neural networks and transfer learning", Springer Nature, 2020
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Shaymaa Ahmed Hassan Ahmmd, "Segmentation of breast cancer lesion in digitized mammogram images", IEE, 2014
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