Identification of glaucoma in fundus images utilizing gray wolf optimization with deep convolutional neural network-based resnet50 model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17506-z.pdf
Reference49 articles.
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2. Hasan MK, Alam MA, Elahi MTE, Roy S, Martí R (2021) DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image. Artif Intell Med 111:102001. https://doi.org/10.1016/j.artmed.2020.102001 Epub 2020 Dec 13
3. Morales S, Naranjo V, Angulo U, Alcaniz M (2013) Automatic detection of optic disc based on PCA and mathematical morphology. IEEE Trans Med Imaging 32(4):786–796. https://doi.org/10.1109/TMI.2013.2238244 Epub 2013 Jan 9
4. Rodrigues LC, Marengoni M (2017) ‘Segmentation of optic disc and blood vessels in retinal images using wavelets’, mathematical morphology and Hessian-based multi-scale filtering. Biomed Signal Process Control 36:39–49. https://doi.org/10.1016/j.bspc.2017.03.014
5. Chai Y, Liu H, Xu J (2018) Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models. Knowl-Based Syst 161:147–156. https://doi.org/10.1016/j.knosys.2018.07.043
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