Elastic Deformation of Optical Coherence Tomography Images of Diabetic Macular Edema for Deep-Learning Models Training: How Far to Go?
Author:
Affiliation:
1. Faculty of Mechanical Engineering, Technion Israel Institute of Technology, Haifa, Israel
2. Department of Ophthalmology, Rambam Health Care Campus, Haifa, Israel
3. Department of Ophthalmology, Carmel Medical Center, Haifa, Israel
Funder
Israeli Ministry of Health, Kopel
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Medicine
Link
http://xplorestaging.ieee.org/ielx7/6221039/9961067/10192390.pdf?arnumber=10192390
Reference23 articles.
1. Deep-learning based, automated segmentation of macular edema in optical coherence tomography
2. Clinically applicable deep learning for diagnosis and referral in retinal disease
3. Estimating Retinal Sensitivity Using Optical Coherence Tomography With Deep-Learning Algorithms in Macular Telangiectasia Type 2
4. A survey on medical image analysis in diabetic retinopathy
5. RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
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