This system employs Multilayer Neural Network for breast cancer classification. Through the employed algorithm, it can classify the medical images into benign, malignant cancer and normal patient without prior information regarding the images. It is designed to assist medical doctors for breast cancer diagnosis through Multilayer Neural Network for breast cancer classification. The learning capability of designed neural networks enhances the quality of classification. The invention is applicable in medical image processing relevant industries, such as medical imaging devices companies, medical institutions. It has filed for 1 relevant patent, 6 copyrights and published in 6 journals and 8 conference papers.

http://fet.mmu.edu.my/research/biit/

• Malaysia

• Women
• Adult
• Pregnant women

This system is replicable for application in medical institute.

BCC-CAD is a collaboration project between Multimedia University and Putra Specialist Hospital. The invention is designed and developed to assist doctor during breast cancer diagnosis. It is aims to promote better well being of citizen and early detection of breast cancer.