1 citations · 1 across the 4 of their papers we have counts for
4 papers
AI enhanced diagnosis of Peyronies disease a novel approach using Computer Vision
Yudara Kularathne, Janitha Prathapa, Prarththanan Sothyrajah +4
This study presents an innovative AI-driven tool for diagnosing Peyronie's Disease (PD), a condition that affects between 0.3% and 13.1% of men worldwide. Our method uses key point…
Mpox Screen Lite: AI-Driven On-Device Offline Mpox Screening for Low-Resource African Mpox Emergency Response
Yudara Kularathne, Prathapa Janitha, Sithira Ambepitiya
Background: The 2024 Mpox outbreak, particularly severe in Africa with clade 1b emergence, has highlighted critical gaps in diagnostic capabilities in resource-limited settings. Th…
Mpox Detection Advanced: Rapid Epidemic Response Through Synthetic Data
Yudara Kularathne, Prathapa Janitha, Sithira Ambepitiya +3
Rapid development of disease detection models using computer vision is crucial in responding to medical emergencies, such as epidemics or bioterrorism events. Traditional data coll…
SynthVision -- Harnessing Minimal Input for Maximal Output in Computer Vision Models using Synthetic Image data
Yudara Kularathne, Prathapa Janitha, Sithira Ambepitiya +3
Rapid development of disease detection computer vision models is vital in response to urgent medical crises like epidemics or events of bioterrorism. However, traditional data gath…