Photo from wikipedia
Results The CNN trained using OCT alone showed a diagnostic accuracy of 94%, whilst the OCT-A trained CNN resulted in an accuracy of 91%. When multiple modalities were combined, the… Click to show full abstract
Results The CNN trained using OCT alone showed a diagnostic accuracy of 94%, whilst the OCT-A trained CNN resulted in an accuracy of 91%. When multiple modalities were combined, the CNN accuracy increased to 96% in the AMD cohort. Conclusions Here we demonstrate that superior diagnostic accuracy can be achieved when deep learning is combined with multimodal image analysis.
Keywords:
multimodal retinal;
image analysis;
accuracy;
deep learning
Journal Title: Journal of Ophthalmology
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Journal of Ophthalmology
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!