Multidisease Deep Learning Neural Network for the Diagnosis of Corneal Diseases

• Published in: American journal of ophthalmology Vol. 226; pp. 252 - 261
• Main Authors: Elsawy, Amr, Eleiwa, Taher, Chase, Collin, Ozcan, Eyup, Tolba, Mohamed, Feuer, William, Abdel-Mottaleb, Mohamed, Abou Shousha, Mohamed
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.06.2021; Elsevier Limited
• Subjects: Algorithms; Area Under Curve; Artificial intelligence; Automation; Classification; Cornea; Corneal Diseases - diagnosis; Deep Learning; Diabetes; Diabetic retinopathy; Diagnosis, Computer-Assisted; Disease; Dry Eye Syndromes - diagnosis; FDA approval; Female; Fuchs' Endothelial Dystrophy - diagnosis; Health care; Humans; Keratoconus - diagnosis; Male; Medical diagnosis; Middle Aged; Neural networks; Neural Networks, Computer; Patients; Prospective Studies; Public health; Quality of life; ROC Curve; Tomography; Tomography, Optical Coherence; Transplants & implants; United States > US

To report a multidisease deep learning diagnostic network (MDDN) of common corneal diseases: dry eye syndrome (DES), Fuchs endothelial dystrophy (FED), and keratoconus (KCN) using anterior segment optical coherence tomography (AS-OCT) images. Development of a deep learning neural network diagnosis a...