Learning from everyday images enables expert-like diagnosis of retinal diseases

• Autores: Ladislav Rampasek, Anna Goldenberg
• Localización: Cell, ISSN 0092-8674, Vol. 172, Nº. 5, 2018, págs. 893-895
• Idioma: inglés
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• Resumen

  • 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.