EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD‐OCT images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22840
Abstract: Macular edema is a retinal complication that occurs due to the presence of excess fluid between the retinal layers. This might lead to swelling in the retina and cause severe vision impairment if not detected… read more here.
Keywords: network; edge attention; segmentation; edge ... See more keywords
Comparative study of deep neural networks with unsupervised Noise2Noise strategy for noise reduction of optical coherence tomography images.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biophotonics"
DOI: 10.1002/jbio.202100151
Abstract: As a powerful diagnostic tool, optical coherence tomography (OCT) has been widely used in various clinical setting. However, OCT images are susceptible to inherent speckle noise that may contaminate subtle structure information, due to low-coherence… read more here.
Keywords: coherence tomography; optical coherence; oct images; noise ... See more keywords
Diseased thyroid tissue classification in OCT images using deep learning: Towards surgical decision support
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200227
Abstract: Intraoperative guidance tools for thyroid surgery based on optical coherence tomography (OCT) could aid distinguish between normal and diseased tissue. However, OCT images are difficult to interpret, thus, real‐time automatic analysis could support the clinical… read more here.
Keywords: classification; classification oct; deep learning; oct images ... See more keywords
Fully automated detection of retinal disorders by image-based deep learning
Sign Up to like & getrecommendations! Published in 2018 at "Graefe's Archive for Clinical and Experimental Ophthalmology"
DOI: 10.1007/s00417-018-04224-8
Abstract: PurposeWith the aging population and the global diabetes epidemic, the prevalence of age-related macular degeneration (AMD) and diabetic macular edema (DME) diseases which are the leading causes of blindness is further increasing. Intravitreal injections with… read more here.
Keywords: transfer learning; image; oct images; detection ... See more keywords
Automatic macular edema identification and characterization using OCT images
Sign Up to like & getrecommendations! Published in 2018 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2018.05.033
Abstract: BACKGROUND AND OBJECTIVE The detection and characterization of the intraretinal fluid accumulation constitutes a crucial ophthalmological issue as it provides useful information for the identification and diagnosis of the different types of Macular Edema (ME).… read more here.
Keywords: oct images; identification; macular edema; characterization ... See more keywords
Automatic segmentation of hyperreflective foci in OCT images
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.06.019
Abstract: BACKGROUND AND OBJECTIVE The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT)… read more here.
Keywords: automatic segmentation; hyperreflective foci; neural networks; oct images ... See more keywords
Geographic atrophy segmentation in SD-OCT images using synthesized fundus autofluorescence imaging
Sign Up to like & getrecommendations! Published in 2019 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2019.105101
Abstract: BACKGROUND AND OBJECTIVE Accurate assessment of geographic atrophy (GA) is critical for diagnosis and therapy of non-exudative age-related macular degeneration (AMD). Herein, we propose a novel GA segmentation framework for spectral-domain optical coherence tomography (SD-OCT)… read more here.
Keywords: oct images; network; segmentation; oct ... See more keywords
Towards a better understanding of the posttreatment hemodynamic behaviors in femoropopliteal arteries through personalized computational models based on OCT images
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-96030-2
Abstract: The hemodynamic behavior following endovascular treatment of patients with peripheral arterial disease plays a significant role on the occurrence of restenosis in femoro-popliteal (FP) arteries. The atheroprone flow conditions that are generally accepted to promote… read more here.
Keywords: oct images; treatment; pta; geometry ... See more keywords
Quantification of attenuation and speckle features from endoscopic OCT images for the diagnosis of human brain glioma
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-61292-z
Abstract: Application of optical coherence tomography (OCT) in neurosurgery mostly includes the discrimination between intact and malignant tissues aimed at the detection of brain tumor margins. For particular tissue types, the existing approaches demonstrate low performance,… read more here.
Keywords: brain; human brain; oct images; speckle ... See more keywords
Synthetic polarization-sensitive optical coherence tomography using contrastive unpaired translation
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-82839-0
Abstract: Polarization-sensitive optical coherence tomography (PS-OCT) measures the polarization state of backscattered light from tissues and provides valuable insights into the birefringence properties of biological tissues. Contrastive unpaired translation (CUT) was used in this study to… read more here.
Keywords: optical coherence; polarization sensitive; oct images; sensitive optical ... See more keywords
Manual measurement of SD-OCT images of hyperreflective retinal layers in acute retinal vessel occlusion is reliable, repeatable and reproducible
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-20086-7
Abstract: To investigate the repeatability and reproducibility of manual measurements of the reflectivity of retinal layers in healthy eyes and in eyes with acute retinal vessel occlusion via spectral-domain optical coherence tomography (SD-OCT). To reflect the… read more here.
Keywords: acute retinal; oct images; occlusion; measurement ... See more keywords