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
Optical coherence tomography–based diabetic macula edema screening with artificial intelligence
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Chinese Medical Association"
DOI: 10.1097/jcma.0000000000000351
Abstract: Background: Optical coherence tomography (OCT) is considered as a sensitive and noninvasive tool to evaluate the macular lesions. In patients with diabetes mellitus (DM), the existence of diabetic macular edema (DME) can cause significant vision… read more here.
Keywords: optical coherence; artificial intelligence; oct images; coherence tomography ... See more keywords
Progressive Feature Fusion Attention Dense Network for Speckle Noise Removal in OCT Images.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3205217
Abstract: Although deep learning for Big Data analytics has achieved promising results in the field of optical coherence tomography (OCT) image denoising, the low recognition rate caused by complex noise distribution and a large number of… read more here.
Keywords: network; noise; dense; feature ... See more keywords
Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3246979
Abstract: Cervical cancer seriously endangers the health of the female reproductive system and even risks women's life in severe cases. Optical coherence tomography (OCT) is a non-invasive, real-time, high-resolution imaging technology for cervical tissues. However, since… read more here.
Keywords: cervical oct; classification; self supervised; model ... See more keywords