Learning from Everyday Images Enables Expert-like Diagnosis of Retinal Diseases
Publication date: 22 February 2018 Source:Cell, Volume 172, Issue 5 Author(s): Ladislav Rampasek, Anna Goldenberg 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. Teaser 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.
Source: Cell - Category: Cytology Source Type: research
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