Convolution neural networks for optical coherence tomography (OCT) image classification
Optical coherence tomography (OCT) is an imaging modality used to obtain a cross-
sectional image of the retina for retinal disease diagnosis. Modern diagnosis systems use …
sectional image of the retina for retinal disease diagnosis. Modern diagnosis systems use …
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 …
Deep learning based diagnostic quality assessment of choroidal OCT features with expert-evaluated explainability
SP Koidala, SR Manne, K Ozimba, MA Rasheed… - Scientific Reports, 2023 - nature.com
Various vision-threatening eye diseases including age-related macular degeneration (AMD)
and central serous chorioretinopathy (CSCR) are caused due to the dysfunctions manifested …
and central serous chorioretinopathy (CSCR) are caused due to the dysfunctions manifested …
Morphological prognosis prediction of choroid neovascularization from longitudinal SD‐OCT images
J Shen, Z Chen, Y Peng, S Zhang, C Xu, W Zhu… - Medical …, 2023 - Wiley Online Library
Background Choroid neovascularization (CNV) has no obvious symptoms in the early stage,
but with its gradual expansion, leakage, rupture, and bleeding, it can cause vision loss and …
but with its gradual expansion, leakage, rupture, and bleeding, it can cause vision loss and …