Convolutional Neural Network-Based Detection and Classification of Cardiovascular Disease and Diabetic Macular Edema
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-33-4687-1_38
Reference17 articles.
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3. Rekhi, R.S., Issac, A., Dutta, M.K., Travieso, C.M.: Automated classification of exudates from digital fundus images. In: International Conference and Workshop on Bioinspired Intelligence (IWOBI), pp. 1–6 (2017)
4. Adeel, M.S., Usman Akram, M., Muzammal, T.A.M., Shehzad, K., Muazzam, A.K.: Fundus images-based detection and grading of macular edema using robust macula localization. IEEE. 6, 58784–58793 (2018)
5. Acharya, U.R., et al.: Automated diabetic macular edema (DME) grading system using DWT, DCT features and maculopathy index. Comput. Biol. Med. 84, 68 (2017)
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1. Self-supervised category selective attention classifier network for diabetic macular edema classification;Acta Diabetologica;2024-03-23
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