Automatic Classification of Macular Diseases from OCT Images Using CNN Guided with Edge Convolutional Layer
Author:
Affiliation:
1. Isfahan University of Medical Sciences,Medical Image and Signal Processing Research Center,Isfahan,Iran,8174673461
2. Institute for Numerical and Applied Mathematics, Georg-August-University of Göttingen,Germany
Funder
Isfahan University of Medical Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871322.pdf?arnumber=9871322
Reference25 articles.
1. Classification of dry age‐related macular degeneration and diabetic macular oedema from optical coherence tomography images using dictionary learning
2. Quantitative Classification of Eyes with and without Intermediate Age-related Macular Degeneration Using Optical Coherence Tomography
3. Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection
4. Deep learning
5. Recent advances in convolutional neural networks
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