• Jwan N. Saeed IT Department, Duhok Technical Institute, Duhok Polytechnic University, Duhok, Kurdistan Region, Iraq


The most common cause of death among women globally is breast cancer. One of the key strategies to reduce mortality associated with breast cancer is to develop effective early detection techniques. The segmentation of breast ultrasound (BUS) image in Computer-Aided Diagnosis (CAD) systems is critical and challenging. Image segmentation aims to represent the image in a simplified and more meaningful way while retaining crucial features for easier analysis. However, in the field of image processing, image segmentation is a tough task particularly in ultrasound (US) images due to challenges associated with their nature. This paper presents a survey on several techniques of ultrasonography images segmentation including threshold based, region based, watershed, active contour and learning based techniques, their merits, and demerits. This can provide significant insights for CAD developers or researchers to advance this field.


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How to Cite
SAEED, Jwan N.. A SURVEY OF ULTRASONOGRAPHY BREAST CANCER IMAGE SEGMENTATION TECHNIQUES. Academic Journal of Nawroz University, [S.l.], v. 9, n. 1, p. 1-14, feb. 2020. ISSN 2520-789X. Available at: <http://journals.nawroz.edu.krd/index.php/ajnu/article/view/523>. Date accessed: 04 apr. 2020. doi: https://doi.org/10.25007/ajnu.v9n1a523.