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Deep Learning for Cornea Microscopy Blind Deblurring

25 June 2020
Toussain Cardot
Pilar Marxer
Ivan Snozzi
    MedIm
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Abstract

The goal of this project is to build a deep-learning solution that deblurs cornea scans, used for medical examination. The spherical shape of the eye prevents ophtamologist from having completely sharp image. Provided with a stack of corneas from confocal images, our approach is to build a model that performs an upscaling of the images using an SR (Super Resolution) Network.

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