Super-Resolution Based Automatic Diagnosis of Retinal Disease Detection for Clinical Applications
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-020-10292-x.pdf
Reference34 articles.
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3. Das Vineeta, Samarendra Prabin (2019) A novel diagnostic information based framework for super resolution of retinal fundus images. Comput Med Imaging Graph 72:22–33
4. Hernandez-Matas C, Zabulis X, Antonis AA (2015) Retinal image registration based on key point correspondences, spherical eye modelling and camera pose estimation. In: 2015 annual international conference of the IEEE Engineering Medicine and Biology Society (EMBC), pp 5650–5654
5. Nagunerii S, Benjamin F, Heinz H, Mike H (2012) Three-dimensional tomography super-resolution fluorescence imaging of serially sectioned thick samples. PLoS ONE 7(5)
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