DocumentCode :
621941
Title :
Breast cancer detection: A review on mammograms analysis techniques
Author :
Hela, Boulehmi ; Hela, Mahersia ; Kamel, Hany ; Sana, Boussetta ; Najla, Mnif
Author_Institution :
Ecole Nat. d´Ing. de Tunis, Univ. Tunis El Manar, Tunis, Tunisia
fYear :
2013
fDate :
18-21 March 2013
Firstpage :
1
Lastpage :
6
Abstract :
Breast cancer is the most common cancer among women over 40 years. Studies have shown that early detection and appropriate treatment of breast cancer significantly increase the chances of survival. They have also shown that early detection of small lesions boosts prognosis and leads to a significant reduction in mortality. Mammography is in this case the best diagnostic technique for screening. However, the interpretation of mammograms is not easy because of small differences in densities of different tissues within the image. This is especially true for dense breasts. This paper is a survey of the automatic early detection of breast cancer by analyzing mammographic images. This analysis could provide radiologists a better understanding of stereotypes and provides, if it is detected at an early stage, a better prognosis inducing a significant decrease in mortality.
Keywords :
cancer; diagnostic radiography; mammography; medical image processing; patient treatment; tumours; automatic early-breast cancer detection; breast cancer detection; breast cancer treatment; diagnostic technique; lesion detection; mammographic image analysis; mortality reduction; prognosis improvement; tissue densities; Breast cancer; Databases; Image segmentation; Lesions; Neural networks; breast cancer; breast density; early detection; mammograms analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals & Devices (SSD), 2013 10th International Multi-Conference on
Conference_Location :
Hammamet
Print_ISBN :
978-1-4673-6459-1
Electronic_ISBN :
978-1-4673-6458-4
Type :
conf
DOI :
10.1109/SSD.2013.6563999
Filename :
6563999
Link To Document :
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