A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
[HTML][HTML] A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks
AE Ilesanmi, T Ilesanmi, GA 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 …
timely diagnosis and treatment to prevent vision loss or blindness. With advancements in …
CA-Net: A novel cascaded attention-based network for multi-stage glaucoma classification using fundus images
Glaucoma is a common eye disease that causes optic nerve damage due to high intraocular
pressure and eventually results in partial or permanent blindness if not detected timely …
pressure and eventually results in partial or permanent blindness if not detected timely …
TUNet and domain adaptation based learning for joint optic disc and cup segmentation
Z Li, C Zhao, Z Han, C Hong - Computers in Biology and Medicine, 2023 - Elsevier
Glaucoma is a chronic disorder that harms the optic nerves and causes irreversible
blindness. The calculation of optic cup (OC) to optic disc (OD) ratio plays an important role in …
blindness. The calculation of optic cup (OC) to optic disc (OD) ratio plays an important role in …
Evolutionary computation-based multitask learning network for railway passenger comfort evaluation from EEG signals
As a core indicator of the railway service industry, the comfort of the railway passengers is
an important aspect to measure the advancement of railway technology. The accurate …
an important aspect to measure the advancement of railway technology. The accurate …
[HTML][HTML] Exploring deep feature-blending capabilities to assist glaucoma screening
Over the last three decades, computer vision has had a vital role in the healthcare sector by
providing soft computing-based robust and intelligent diagnostic solutions. Glaucoma is a …
providing soft computing-based robust and intelligent diagnostic solutions. Glaucoma is a …
Geometric Correspondence-Based Multimodal Learning for Ophthalmic Image Analysis
Color fundus photography (CFP) and Optical coherence tomography (OCT) images are two
of the most widely used modalities in the clinical diagnosis and management of retinal …
of the most widely used modalities in the clinical diagnosis and management of retinal …
[HTML][HTML] EARDS: EfficientNet and attention-based residual depth-wise separable convolution for joint OD and OC segmentation
Background Glaucoma is the leading cause of irreversible vision loss. Accurate Optic Disc
(OD) and Optic Cup (OC) segmentation is beneficial for glaucoma diagnosis. In recent years …
(OD) and Optic Cup (OC) segmentation is beneficial for glaucoma diagnosis. In recent years …
[HTML][HTML] Identifying the edges of the optic cup and the optic disc in glaucoma patients by segmentation
With recent advancements in artificial intelligence, fundus diseases can be classified
automatically for early diagnosis, and this is an interest of many researchers. The study aims …
automatically for early diagnosis, and this is an interest of many researchers. The study aims …
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression
The development of methods based on artificial intelligence for the classification of medical
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …