About this document
Deep Learning for Diabetic Macular Edema Detection by Hello Ptai is a document available to read on EtoBox.
This meta-analysis reviews deep learning methods for detecting diabetic macular edema (DME) using optical coherence tomography (OCT) and fundus images, highlighting their clinical utility in resource-constrained healthcare systems. The analysis included 53 studies, revealing an overall sensitivity of 96% for OCT images and 94% for fundus images in detecting DME. The findings underscore the potential of deep learning algorithms to enhance DME screening and diagnosis, particularly in areas with limited access
- Author
- Hello Ptai
- Language
- EN