… of denoising OCT B-scans. In this study, we propose a deep learning approach to denoise
OCT … We hope to offer a denoising framework to obtain superior quality B-scans, with reduced …

… of optical coherence tomography (OCT) images utilized within the field of ophthalmology: Optic
Nerve Head (ONH) images and retinal images. … approach involves training deep learning …

… axonal degeneration at the optic nerve head (ONH) and loss … , as we did not apply any
denoising filter to reduce the noise … suggestions in regard to the image denoising method. …

… imaging-optical coherence tomography images of a 21-year-old female healthy participant.
Adding artificial noise to the original image … -noise images, and a cautious approach should …

… In this study we present a custom deep learning approach that can remove noise and
retinal shadows simultaneously from single-frame OCT B-scans of the ONH. All noise removal …

… deep learning method named Noise2Noise, we propose a deep learning method in noise
reduction for OCT images … this method, we only need to obtain any two B-scan OCT images at …

… neural network to denoise the OCT images of optic nerve … N2N deep learning models can
demonstrate similar denoising … N2N denoising learning approach of OCT images. Note that, …

… deep learning, such as self-supervised learning approaches, which have shown significant
promise in noise reduction … of the glaucomatous optic nerve head using artificial intelligence. …

… use machine learning after a graph search approach. That is the case of the approach followed
by … Segmentation accuracy is significantly higher when a deep learning noise reduction …

… of retinal ganglion cells within the optic nerve head (ONH). In its … of the eye, optical coherence
tomography (OCT) has been … recordings using a wavelet denoising approach. In: IEEE …