Open AccessComputerized Segmentation Method For Breast Lesions on Ultrasound Images
Author(s) -
P. Umamaheswari,
P. Venkateswari,
J.Glory Thephoral,
S. Ramya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2525.0981119
Subject(s) - spare part , breast cancer , segmentation , mammography , computer science , breast ultrasound , region of interest , artificial intelligence , breast carcinoma , identification (biology) , medical physics , computer vision , medicine , cancer , engineering , operations management , botany , biology
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.