[HTML][HTML] A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks

AE Ilesanmi, T Ilesanmi, AG Gbotoso - Healthcare Analytics, 2023 - Elsevier
Retinal fundus images play a crucial role in the early detection of eye problems, aiding in
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …

Low-frequency amplitude fusion based consistency learning method for multi-source domain adaptation for joint optic disc and cup segmentation

Z Zhang, Z Tong, C Tian, Y Ye, W Fan, R Ran… - … Signal Processing and …, 2024 - Elsevier
The rise of deep neural networks has effectively improved the performance of optic disc and
cup segmentation, relying on the assumption of shared data distributions between training …

An evaluation of AI-based methods for papilledema detection in retinal fundus images

AM Salaheldin, MA Wahed, M Talaat… - … Signal Processing and …, 2024 - Elsevier
The complexities inherent in diagnosing papilledema, particularly within the realm of neuro-
ophthalmology, emphasize the pressing need for sophisticated diagnostic methodologies …

Glaucoma Diagnosis Using Hybrid Neural Encoder Decoder Based Unet Hybrid Inception

A Bali, V Mansotra - Mansoura Engineering Journal, 2024 - mej.researchcommons.org
The anatomy of the retinal fundus picture, which includes the optic disc, affects how
glaucoma characteristics are extracted. One of the main causes of blindness in the globe is …

[PDF][PDF] Healthcare Analytics

AE Ilesanmi, T Ilesanmi, GA Gbotoso - researchgate.net
Retinal fundus images play a crucial role in the early detection of eye problems, aiding in
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …