Breast cancer image segmentation and classification
Ichrak Khoulqi, Najlae Idrissi · Proceedings of the 4th International Conference on Smart City Applications · 2019
Breast cancer is the most common malignancy that affects women all over the world, especially in morocco with 35.8% [1]. The effective way to diagnose and treat breast cancer is the earlier detection of symptoms and signs which can arise the chances of preconizing an earlier treatment, probably specific one. Thus, it can extremely affect the chances to survive by delaying the cancer or the total elimination. Mammography is a highly accurate radiography technique that represents a basic and crucial phase in preventing and detecting early this disease. Using the mammography images, we propose in this paper to develop a computer aided diagnosis (CAD) system named Earlier Breast Cancer Computer Aided Detection (EBCCAD) which aim is to detect and classify breast cancer images. The obtained results are promising and encouraging to evaluate the proposed system for real cases.