Deep Learning for Cornea Microscopy Blind Deblurring
2020-06-25Code Available0· sign in to hype
Toussain Cardot, Pilar Marxer, Ivan Snozzi
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/Plazzzzma/CP_project_2020OfficialIn paperpytorch★ 1
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.