Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence Models

Predicting Systemic Health Features from Retinal Fundus Images Using Transfer-Learning-Based Artificial Intelligence Models

While color fundus photos are used in routine clinical practice to diagnose ophthalmic conditions, evidence suggests that ocular imaging contains valuable information regarding the systemic health features of patients. These features can be identified through computer vision techniques including dee...

Full description

Bibliographic Details
Main Authors: Nergis C. Khan, Chandrashan Perera, Eliot R. Dow, Karen M. Chen, Vinit B. Mahajan, Prithvi Mruthyunjaya, Diana V. Do, Theodore Leng, David Myung
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Diagnostics
Subjects:
diabetic retinopathy
artificial intelligence
transfer learning
retinal imaging
Online Access:https://www.mdpi.com/2075-4418/12/7/1714

Internet

https://www.mdpi.com/2075-4418/12/7/1714

Similar Items