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, 5 copyrights and published in 3 journals and 8 conference papers.

http://fet.mmu.edu.my/research/biit/?page_id=78

• Malaysia

• Women

This project promote societal well being and good health which inline with WSIS values