Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Macular DiseasesRetinal Diseases
Related content
COMMENTED
Retinal Diseases
Using a deep learning algorithm and integrated gradients explanation to assist grading for diabetic retinopathy
Ophthalmology.
Sayres R, Taly A, Rahimy E, Blumer K, Coz D, Hammel N, Krause J, Narayanaswamy A, Rastegar Z, Wu D, Xu S, Barb S, Joseph A, Shumski M, Smith J, Sood AB, Corrado GS, Peng L, Webster DR
doi: 10.1016/j.ophtha.
Retinal DiseasesFurther Publications
Detection of Diabetic Retinopathy from Ultra-Wide Field Scanning Laser Ophthalmoscope Images: A Multi-Center Deep-Learning Analysis
Ophthalmol Retina
Tang F, Luenam P, Ran AR, Quadeer AA, Raman R, Sen P, Khan R, Giridhar A, Haridas S, Iglicki M, Zur D, Loewenstein A, Negri HP, Szeto S, Yau Lam BK, Tham CC, Sivaprasad S, Mckay M, Cheung CY
doi: 10.1016/j.oret.2021.01.013
Macular DiseasesRetinal Diseases
Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence
Eye (Lond).
Rajalakshmi R, Subashini R, Anjana RM, Mohan V
doi: 10.1038/s41433-018-0064-9.
Macular Diseases
A Deep Learning Algorithm for Prediction of Age-Related Eye Disease Study Severity Scale for Age-Related Macular Degeneration from Color Fundus Photography
Ophthalmology.
Grassmann F, Mengelkamp J, Brandl C, Harsch S, Zimmermann ME, Linkohr B, Peters A, Heid IM, Palm C, Weber BHF
doi: 10.1016/j.ophtha.2018.02.037.
Retinal Diseases
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading
Sci Rep.
Sahlsten J, Jaskari J, Kivinen J, Turunen L, Jaanio E, Hietala K, Kaski K
doi: 10.1038/s41598-019-47181-w.
Cornea and Corneal Diseases
Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras
Br J Ophthalmol
Fang X, Deshmukh M, Chee ML, Soh ZD, Teo ZL, Thakur S, Goh JHL, Liu YC, Husain R, Mehta J, Wong TY, Cheng CY, Rim TH, Tham YC
doi: 10.1136/bjophthalmol-2021-318866
Retinal Diseases
Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System
Acta Ophthalmol.
van der Heijden AA, Abramoff MD, Verbraak F, van Hecke MV, Liem A, Nijpels G
doi: 10.1111/aos.13613.
COMMENTED
Glaucoma and Ocular Pressure
Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images
★ 1
Recommended by
Prof. Dr emer. Josef Flammer, Faculty Member
★ 3
Recommended by
Prof. Dr Ke Yao, Faculty Member
★ 1
Recommended and commented by
Dr habil. Gábor Márk Somfai, PhD, Faculty Member
Br J Ophthalmol
Li Z, Guo C, Lin D, Nie D, Zhu Y, Chen C, Zhao L, Wang J, Zhang X, Dongye M, Wang D, Xu F, Jin C, Zhang P, Han Y, Yan P, Han Y, Lin H
doi: 10.1136/bjophthalmol-2020-317327
COMMENTED
Retinal Diseases
Retinal Nonperfusion Characteristics on Ultra-Widefield Angiography in Eyes With Severe Nonproliferative Diabetic Retinopathy and Proliferative Diabetic Retinopathy
JAMA Ophthalmol.
Nicholson L, Ramu J, Chan EW, Bainbridge JW, Hykin PG, Talks SJ, Sivaprasad S
doi: 10.1001/jamaophthalmol.