B-mode breast ultrasound image segmentation techniques: an investigation and comparative analysis
by Madan Lal; Lakhwinder Kaur; Savita Gupta
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 4, No. 2/3, 2018

Abstract: Breast cancer is the second leading reason for death among women. A commonly used method for detection of breast cancer is ultrasound imaging. Ultrasonic imaging is a low cost, easy to use, non-invasive and portable process, but it suffers from acoustic interferences (speckle noise) and other artefacts. As a result, it becomes difficult for the experts to directly identify the exact shapes of abnormalities in these images. Numerous techniques have been proposed by different researchers for visual enhancement and for segmentation of lesion regions in breast ultrasound images. In this work, different automatic and semi-automatic breast ultrasound image segmentation techniques have been reviewed with a brief explanation of their different technological aspects. Performance of selected methods has been evaluated on a database of 45 B-mode breast ultrasound images containing benign and malignant tumours (25 benign and 20 malignant). For performance analysis of the segmentation methods, results are taken in terms of area and boundary error based quantitative metrics using manually delineated images (by an expert Radiologist) as ground truth/ reference images.

Online publication date: Mon, 30-Apr-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Systems Engineering (IJCSYSE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com