Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ambepitiya, Sithira"'
Autor:
Kularathne, Yudara, Prathapa, Janitha, Sothyrajah, Prarththanan, Arasaratnam, Salomi, Ambepitiya, Sithira, Ahamed, Thanveer, Wijesundara, Dinuka
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 detection on both images and videos to measure penile curvature angle
Externí odkaz:
http://arxiv.org/abs/2411.07684
Background: The 2024 Mpox outbreak, particularly severe in Africa with clade 1b emergence, has highlighted critical gaps in diagnostic capabilities in resource-limited settings. This study aimed to develop and validate an artificial intelligence (AI)
Externí odkaz:
http://arxiv.org/abs/2409.03806
Autor:
Kularathne, Yudara, Janitha, Prathapa, Ambepitiya, Sithira, Sothyrajah, Prarththanan, Ahamed, Thanveer, Wijesundara, Dinuka
Rapid development of disease detection models using computer vision is crucial in responding to medical emergencies, such as epidemics or bioterrorism events. Traditional data collection methods are often too slow in these scenarios, requiring innova
Externí odkaz:
http://arxiv.org/abs/2407.17762
Autor:
Allan-Blitz, Lao-Tzu, Ambepitiya, Sithira, Tirupathi, Raghavendra, Klausner, Jeffrey D., Kularathne, Yudara
Machine-learning algorithms can facilitate low-cost, user-guided visual diagnostic platforms for addressing disparities in access to sexual health services. We developed a clinical image dataset using original and augmented images for five penile dis
Externí odkaz:
http://arxiv.org/abs/2403.08417
Autor:
Kularathne, Yudara, Janitha, Prathapa, Ambepitiya, Sithira, Ahamed, Thanveer, Wijesundara, Dinuka, Sothyrajah, Prarththanan
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 gathering methods are too slow for these scenarios necessitating innovativ
Externí odkaz:
http://arxiv.org/abs/2402.02826
Autor:
Allan-Blitz, Lao-Tzu1,2 (AUTHOR) lallan-blitz@mgb.org, Ambepitiya, Sithira3 (AUTHOR), Prathapa, Janitha3 (AUTHOR), Rietmeijer, Cornelis A.4 (AUTHOR), Kularathne, Yudara3 (AUTHOR), Klausner, Jeffrey D.5 (AUTHOR) jdklausner@med.usc.edu
Publikováno v:
Scientific Reports. 10/27/2024, Vol. 14 Issue 1, p1-8. 8p.
Publikováno v:
In Mayo Clinic Proceedings: Digital Health June 2024 2(2):280-288