Newly designed method based on deep learning can detect macular fluid

An automated method based on deep learning to identify and quantify intraretinal cystoid fluid and subretinal fluid is an accurate digital analysis tool.
Researchers developed a validated artificial intelligence method using deep learning to fully detect and quantify macular fluid in clinical OCT imaging. The digital analysis tool can identify macular fluid in patients with neovascular age-related macular degeneration, diabetic macular edema and retinal vein occlusion.
Using the newly developed method, researchers reported a mean accuracy of 0.94, a mean precision of 0.91 and a mean recall of

Full Story →