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Diagnosis of Diabetic Retinopathy Using Face-Recognition Techniques
Luis Frazao,Nipon Theera-Umpon,Sansanee Auephanwiriyakul 한국재활복지공학회 2016 한국재활복지공학회 학술대회논문집 Vol.2016 No.11
An automatic diagnostic system to detect diabetic retinopathy in 1200 eye color fundus images from the popular Messidor database was developed with promising results. The innovative methodology was inspired by techniques usually applied in the field of face recognition, namely the Principal Component Analysis (PCA) and the Independent Component Analysis (ICA). The analysis of local retinal features (exudates and red lesions) in addition to the holistic texture features analyzed in this work is expected to improve the system performance.