Breast cancer detection using RBF neural network

Breast cancer is the most frequently diagnosed non-skin cancer and the leading cause of cancer-deaths among women. With the advances in digital image processing techniques, it is envisaged that Computer aided diagnosis (CAD) systems can be devised to claim results at par with that of a histopathologist. The inherent assumption of this paper is that image-processing techniques and RBFN can be used to detect malignancy in histopathological images. The proposed work gives a wholesome, complete and automated detection of malignancy using both image processing techniques and RBFN. This is in contrast with other works, which either focus on image processing processes or classification based on online data, but not both.