Title :
A Probabilistic Framework for Content-Based Diagnosis of Retinal Disease
Author :
Tobin, K.W. ; Abdelrahman, M. ; Chaum, E. ; Govindasamy, V.P. ; Karnowski, T.P.
Author_Institution :
Oak Ridge Nat. Lab., Oak Ridge
Abstract :
Diabetic retinopathy is the leading cause of blindness in the working age population in the industrialized world. Computer assisted analysis has the potential to assist in the early detection of diabetes by regular screening of large populations. The widespread availability of digital fundus cameras today is leading to the accumulation of large image archives of diagnosed patient data that captures historical knowledge of retinal pathology. Through this research we are developing a content-based image retrieval method to verify our hypothesis that retinal pathology can be identified and quantified from visually similar retinal images in an image archive. We will present diagnostic results for specificity and sensitivity on a population of 395 fundus images representing the normal fundus and 14 stratified disease states.
Keywords :
biomedical optical imaging; diseases; eye; image retrieval; computer assisted analysis; content-based image retrieval method; diabetic retinopathy; retinal diagnosis; retinal disease; retinal pathology; Blindness; Cameras; Content based retrieval; Degenerative diseases; Image analysis; Image retrieval; Laboratories; Machine vision; Pathology; Retina; Bayes Theorem; Humans; Image Processing, Computer-Assisted; Retinal Diseases; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353909
