An Approach to the Detection of Retinoblastoma based on Apriori Algorithm

Abstract

Retinoblastoma is a rare kind of cancer, typically designated as leukocoria (white-eye pupillary reflex) that rapidly develops from the immature cells of a retina, the light-detecting tissue of the eye. It is the most common malignant cancer of the eye in young children. Early detection of leukocoria can improve the overall treatment duration.There is intensification in interest for setting up medical system that can monitor a large number of people for sight threatening diseases, likely Retinoblastoma and Diabetic Retinopathy.Developed an image processing application for the discovery of retinoblastoma by exploiting graph theory based apriori algorithm as a novel approach and different image processing techniques.The application will review the image with different phases and identifies region of interest of the threatened area in the retina.The software is implemented using MATLAB and developed a graphical user interface for smooth proceedings during identification stages of the disease.