Stationary wavelet transform and SpinalNet trained light spectrum Tasmanian devil optimization enabled DR detection using fundus images
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19048-4.pdf
Reference38 articles.
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3. Saranya P, Prabakaran S, Kumar R, Das E (2022) Blood vessel segmentation in retinal fundus images for proliferative diabetic retinopathy screening using deep learning. Vis Comput 38(3):977–992
4. Asia AO, Zhu CZ, Althubiti SA, Al-Alimi D, Xiao YL, Ouyang PB, Al-Qaness MA (2022) Detection of diabetic retinopathy in retinal fundus images using cnn classification models. Electronics 11(17):2740
5. Araújo T, Aresta G, Mendonça L, Penas S, Maia C, Carneiro Â, Mendonça AM, Campilho A (2020) Data augmentation for improving proliferative diabetic retinopathy detection in eye fundus images. IEEE Access 8:182462–182474
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