DESIGN AND EVALUATION OF POST-PROCESSING METHODS BASED ON THE RANDOM FOREST CLASSIFIER TO DECREASE FALSE POSITIVES IN MICROANEURYSM SEGMENTATION USING A U-NET MULTIRESOLUTION MODEL

• المؤلف الرئيسي: Siti Sarah, Ines
• التنسيق: Final Project
• اللغة: Indonesia
• الوصول للمادة أونلاين: https://digilib.itb.ac.id/gdl/view/80972

Microaneurysms (MAs), which are swellings in the blood vessels visible on the fundus of the eye, are one of the indicators for the early detection of diabetic retinopathy (DR), a complication of diabetes that causes a decrease in patients' visual ability. In previous research on MA detection...