Decision trees for glaucoma screening based on the asymmetry of the retinal nerve fiber layer in optical coherence tomography

R Berenguer-Vidal, R Verdú-Monedero… - Sensors, 2022 - mdpi.com
Purpose: The aim of this study was to analyze the relevance of asymmetry features between
both eyes of the same patient for glaucoma screening using optical coherence tomography …

Detection of choroidal neovascularization (CNV) in retina OCT images using VGG16 and DenseNet CNN

MS Abirami, B Vennila, K Suganthi, S Kawatra… - Wireless Personal …, 2022 - Springer
In this study, we intend to diagnose Choroidal Neovascularization in retinal Optical
Coherence Tomography (OCT) images using Deep Learning Architectures. OCT images …

Retinal layer segmentation in rodent OCT images: Local intensity profiles & fully convolutional neural networks

S Morales, A Colomer, JM Mossi, R Del Amor… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective: Optical coherence tomography (OCT) is a useful
technique to monitor retinal layer state both in humans and animal models. Automated OCT …

Automatic segmentation of the retinal nerve fiber layer by means of mathematical morphology and deformable models in 2d optical coherence tomography imaging

R Berenguer-Vidal, R Verdú-Monedero… - Sensors, 2021 - mdpi.com
Glaucoma is a neurodegenerative disease process that leads to progressive damage of the
optic nerve to produce visual impairment and blindness. Spectral-domain OCT technology …

Using Diffusion Models for Data Augmentation on Limited Rodent OCT Datasets

F García-Torres, R del Amor… - … on Intelligent Data …, 2024 - Springer
Optical coherence tomography (OCT) has transformed ophthalmology by enabling accurate
diagnosis of retinal diseases. OCT in rodents is used in research studies of ophthalmic …