Diabetic Eye Diseases Detection and Classification Using Deep Learning Techniques—A Survey
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9638-2_38
Reference34 articles.
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3. Hashemzadeh M, Azar BA (2019) Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods. Artif Intell Med 95:1–15
4. Sarki R, Ahmed K, Wang H, Zhang Y (2020) Automatic detection of diabetic eye disease through deep learning using fundus images: a survey. IEEE Access 8:151133–151149
5. Adel A, Soliman MM, Khalifa NEM, Mostafa K (2020) Automatic classification of retinal eye diseases from optical coherence tomography using transfer learning. In: 2020 16th International computer engineering conference (ICENCO). IEEE, pp 37–42
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