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
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...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/80972 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |