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New Findings from University of Engineering and Technology Update Understanding of Diabetic Retinopathy (Computationally Efficient Deep Learning Models for Diabetic Retinopathy Detection: a Systematic Literature Review).
- Source :
- Diabetes Week; 10/28/2024, p178-178, 1p
- Publication Year :
- 2024
-
Abstract
- A recent study conducted at the University of Engineering and Technology in Punjab, Pakistan, focused on improving the detection of Diabetic Retinopathy, a leading cause of blindness globally. The research highlighted the importance of early detection due to the increasing prevalence of diabetes worldwide. The study specifically examined the use of vision transformers in deep learning models to enhance efficiency and accuracy in detecting diabetic retinopathy, presenting a systematic review of 84 academic papers. The research also identified key challenges and proposed further avenues for investigation in this field. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 15371425
- Database :
- Complementary Index
- Journal :
- Diabetes Week
- Publication Type :
- Periodical
- Accession number :
- 180468225