Retinal layer segmentation in optical coherence tomography (OCT) images is a crucial process for diagnosing and monitoring various eye diseases, particularly those affecting the retina.
We propose two effective methods for OCT image classification, combining the strength of deep learning with sparse representation of significant image features for improved detection of retinal ...
revealing that while retinal organoids largely mimic normal retinal development, there are notable differences in certain signaling pathways, such as Notch signaling[1]. Another significant area ...
[19] Stage 1 A line of demarcation between the normal retina nearer the optic nerve and the non-vascularized retina peripherally. Stage 2 A ridge of scar tissue that arises in the region of the ...
9 The lateral scale of the SD-OCT images was adjusted by multiplying the nominal scan length with the ratio ... The focal lesions, corresponding to drusen, reported here, were unlike the surrounding ...
The following is a summary of “Effect of siponimod on retinal thickness, a marker of neurodegeneration, in participants with SPMS: Findings from the EXPAND OCT substudy,” published in the January 2025 ...
Imaging also plays an important role, according to Goldberg. He said OCT can help identify which layers of the retina are involved, infrared imaging can help look for changes above the retinal ...
Turkish researchers reported that optical coherence tomography (OCT) and OCT angiography (OCTA) provide objective supplementary measurements of the retinal nerve fiber layer (RNFL), macular ganglion ...