Computerized segmentation method for breast lesions on ultrasound images

0Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In recent days, the machine learning techniques are comprehensively utilized in the field of identifying breast carcinoma. It is a vital driving reason for death for women everywhere throughout the world. Since the reasons for the infection stay obscure, early detection and analysis are the keys to breast cancer control, and it can expand the accomplishment of treatment, spare life and also reduce cost. Digital mammogram based on the depth of mammogram images to recognizing the masses. Mammography is a standout amongst the best tool that has been generally utilized in early identification for breast cancer. It comprises are four phases, they are pre-handling, division, order, and highlight extraction. ROI [region of interest] technique mainly used to identify the limit of a disease bit and measure its size.

Cite

CITATION STYLE

APA

Umamaheswari, P., Venkateswari, P., Glory Thephoral, J., & Ramya, S. (2019). Computerized segmentation method for breast lesions on ultrasound images. International Journal of Innovative Technology and Exploring Engineering, 8(11), 3228–3231. https://doi.org/10.35940/ijitee.K2525.0981119

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free