Deep learning in Ophthalmology: Saving vision
Imaging is a cornerstone of many medical specialties, such as Ophthalmology. Humans assessing the images are becoming the bottleneck, as they have to read an ever growing number of more extensive imaging studies. Computers can potentially extract more information from images, more reliably, and more accurately. Particularly, deep learning methods have so far brought substantial improvements to the analysis of medical images. In this talk I will present how deep learning is transforming Ophthalmology, from detection and diagnosis of eye diseases to treatment monitoring to restore vision. I will further discuss the challenges that we are currently facing and the need of new approaches to accomplish the integration of this technology in clinical practice.
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