Automatic image segmentation of breast thermograms
Bassant Abdelhamid; Adel, Mai; El-Ramly, Salwa;
Abstract
Breast cancer has a great attention worldwide due to the increase of the number of patients, especially women, suffering from this disease. However, breast cancer can be cured if it is detected in its early stages. Breast thermography is a promising screening technique for the early detection of breast cancer. In this paper, an automatic segmentation algorithm for frontal breast thermograms is proposed. The proposed algorithm performance is evaluated using two different databases. The proposed algorithm proves its ability to successfully segment all types of breasts (small, medium, large, asymmetric and flat). Moreover, quantitative measures are computed to verify the capability of the proposed algorithm.
Other data
Title | Automatic image segmentation of breast thermograms | Authors | Bassant Abdelhamid ; Adel, Mai; El-Ramly, Salwa | Keywords | Breast cancer | Early detection | Segmentation | Thermograms | Issue Date | 23-Jun-2018 | Journal | ACM International Conference Proceeding Series | ISBN | 9781450364096 | DOI | 10.1145/3239264.3239279 | Scopus ID | 2-s2.0-85055529175 |
Recommend this item
Similar Items from Core Recommender Database
Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.