Temitope Mapayi
Papers
1
Total Citations
33
H-Index
1
About
Dr. Temitope Mapayi is a leading researcher in biomedical image processing, with a primary focus on retinal vessel segmentation and computer-aided diagnostic systems. His most-cited work, "Retinal Vessel Segmentation: A Comparative Study of Fuzzy C-Means and Sum Entropy Information on Phase Congruency" (2015, 33 citations), addresses a critical challenge in robotic-assisted surgery and ophthalmology: the accurate and efficient detection of both large and thin retinal vessels despite uneven illumination. By comparing fuzzy clustering with entropy-based phase congruency methods, Mapayi advanced the state-of-the-art in vasculature detection, directly improving the reliability of automated retinal analysis. His contributions are vital for early diagnosis of diabetic retinopathy, glaucoma, and cardiovascular disease. With over 30 citations on this single paper alone, Mapayi's work continues to influence researchers developing real-time, high-accuracy segmentation algorithms. His research bridges the gap between computational intelligence and clinical application, making him a notable figure in the intersection of medical imaging and machine learning.
Research Focus
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