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

Cell
Ladislav Rampasek, Anna Goldenberg

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.

Citations

Aug 3, 2019·JAMA Network Open·Matthew M EngelhardF Joseph McClernon
Jun 7, 2018·Proceedings of the National Academy of Sciences of the United States of America·Mohammad Sadegh NorouzzadehJeff Clune
Aug 28, 2020·Journal of Cancer Research and Clinical Oncology·Yi-Quan JiangGui-Hua Chen
Feb 11, 2020·Frontiers in Neuroscience·Zahra Riahi SamaniRagini Verma
Jun 30, 2019·Journal of Imaging·Phivos Mylonas, Evaggelos Spyrou
Feb 29, 2020·Current Medical Imaging·Sehrish QummarJinfeng Gao

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