Deep Learning Unveiled: Investigating Retina Eye Segmentation for Glaucoma Diagnosis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6641-7_28
Reference40 articles.
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2. Regan, D., Neima, D.: Low-contrast letter charts in early diabetic retinopathy, ocular hypertension, glaucoma, and Parkinson’s disease. Br. J. Ophthalmol. 68(12), 885–889 (1984)
3. Bilal, A., Zhu, L., Deng, A., Lu, H., Wu, N.: AI-based automatic detection and classification of diabetic retinopathy using U-net and deep learning. Symmetry 14(7), 1427 (2022)
4. Hirota, M., et al.: Effect of color information on the diagnostic performance of glaucoma in deep learning using few fundus images. Int. Ophthalmol. 40, 3013–3022 (2020)
5. Vijapur, N.A., Kunte, R.S.R.: Sensitized glaucoma detection using a unique template based correlation filter and undecimated isotropic wavelet transform. J. Med. Biol. Eng. 37, 365–373 (2017)
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