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. 2018 Feb 22;172(5):893-895.
doi: 10.1016/j.cell.2018.02.013.

Learning from Everyday Images Enables Expert-like Diagnosis of Retinal Diseases

Ladislav Rampasek  1 , Anna Goldenberg  2
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Learning from Everyday Images Enables Expert-like Diagnosis of Retinal Diseases

Ladislav Rampasek et al. Cell. .
Free article

Abstract

Kermany et al. report an application of a neural network trained on millions of everyday images to a database of thousands of retinal tomography images that they gathered and expert labeled, resulting in a rapid and accurate diagnosis of retinal diseases.

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  • Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning.
    Kermany DS, Goldbaum M, Cai W, Valentim CCS, Liang H, Baxter SL, McKeown A, Yang G, Wu X, Yan F, Dong J, Prasadha MK, Pei J, Ting MYL, Zhu J, Li C, Hewett S, Dong J, Ziyar I, Shi A, Zhang R, Zheng L, Hou R, Shi W, Fu X, Duan Y, Huu VAN, Wen C, Zhang ED, Zhang CL, Li O, Wang X, Singer MA, Sun X, Xu J, Tafreshi A, Lewis MA, Xia H, Zhang K. Kermany DS, et al. Cell. 2018 Feb 22;172(5):1122-1131.e9. doi: 10.1016/j.cell.2018.02.010. Cell. 2018. PMID: 29474911

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