Litcius/Paper detail

Deep Transfer Learning Approaches to Predict Glaucoma, Cataract, Choroidal Neovascularization, Diabetic Macular Edema, DRUSEN and Healthy Eyes: An Experimental Review

Yogesh Kumar, Surbhi Gupta

2022Archives of Computational Methods in Engineering77 citationsDOI

Topics & Concepts

Artificial intelligenceDeep learningDrusenComputer scienceTransfer of learningFundus photographyConvolutional neural networkOptical coherence tomographyGlaucomaFundus (uterus)Diabetic retinopathyMedicineOphthalmologyOptometryMacular degenerationRetinalFluorescein angiographyDiabetes mellitusEndocrinologyRetinal Imaging and AnalysisArtificial Intelligence in HealthcareDigital Imaging for Blood Diseases
Deep Transfer Learning Approaches to Predict Glaucoma, Cataract, Choroidal Neovascularization, Diabetic Macular Edema, DRUSEN and Healthy Eyes: An Experimental Review | Litcius