Deep learning in retinal optical coherence tomography (OCT): A comprehensive survey
Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …
OCTID: Optical coherence tomography image database
Optical coherence tomography (OCT) is a non-invasive imaging modality that is widely used
in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which …
in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which …
DeepRetina: layer segmentation of retina in OCT images using deep learning
Q Li, S Li, Z He, H Guan, R Chen, Y Xu… - … vision science & …, 2020 - tvst.arvojournals.org
Purpose: To automate the segmentation of retinal layers, we propose DeepRetina, a method
based on deep neural networks. Methods: DeepRetina uses the improved Xception65 to …
based on deep neural networks. Methods: DeepRetina uses the improved Xception65 to …
Automated segmentation of retinal layers in optical coherence tomography images using Xception70 feature extraction
P Mani, N Ramachandran, P Naveen… - Applied Soft Computing, 2024 - Elsevier
Optical coherence tomography (OCT) imaging plays a critical role in evaluating retinal layer
thickness, serving as a pivotal diagnostic tool for numerous retinal conditions. However …
thickness, serving as a pivotal diagnostic tool for numerous retinal conditions. However …
Deep learning for ophthalmology using optical coherence tomography
The majority of recent deep learning research has been the reapplication of established
image-processing techniques to retinal images. Another prominent and substantially richer …
image-processing techniques to retinal images. Another prominent and substantially richer …