Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images

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

Glaucoma and Ocular PressureFurther Publications

Automated detection of glaucoma with interpretable machine learning using clinical data and multi-modal retinal images

Am J Ophthalmol

Mehta P, Petersen CA, Wen JC, Banitt MR, Chen PP, Bojikian KD, Egan C, Lee SI, Balazinska M, Lee AY, Rokem A

doi: 10.1016/j.ajo.2021.04.021

Macular Diseases

Automated Grading of Age-Related Macular Degeneration From Color Fundus Images Using Deep Convolutional Neural Networks

JAMA Ophthalmol.

Burlina PM, Joshi N, Pekala M, Pacheco KD, Freund DE, Bressler NM

doi: 10.1001/

Macular DiseasesRetinal Diseases

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

JAMA.

Gulshan V, Peng L, Coram M, Stumpe MC, Wu D, Narayanaswamy A, Venugopalan S, Widner K, Madams T, Cuadros J, Kim R, Raman R, Nelson PC, Mega JL, Webster DR

doi: 10.1001/jama.2016.17216.

LensesRetinal Diseases

Effects of refractive power on quantification using ultra-widefield retinal imaging

BMC Ophthalmol

Lim SH, Jeong S, Ahn JH, van Hemert J, Sagong M

doi: 10.1186/s12886-021-01900-y

Retinal Diseases

Classification and Guidelines for Widefield Imaging: Recommendations from the International Widefield Imaging Study Group

Ophthalmol Retina.

Choudhry N, Duker JS, Freund KB, Kiss S, Querques G, Rosen R, Sarraf D, Souied EH, Stanga PE, Staurenghi G, Sadda SR

doi: 10.1016/j.oret.2019.05.007.

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 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

Multimodal imaging in acute retinal ischemia: spectral domain OCT, OCT-angiography and fundus autofluorescence

Int J Ophthalmol.

Feucht N, Zapp D, Reznicek L, Lohmann CP, Maier M, Mayer CS

doi: 10.18240/ijo.2018.09.15.

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