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Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images
Optical coherence tomography (OCT) is a widely used imaging technique in ophthalmology for diagnosis and treatment. Recent advances in deep neural...
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Unsupervised detection of Small Hyperreflective Features in Ultrahigh Resolution Optical Coherence Tomography
Recent advances in optical coherence tomography such as the development of high speed ultrahigh resolution scanners and corresponding signal...
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Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images
Glaucoma is the dominant reason for irreversible blindness worldwide, and its best remedy is early and timely detection. Optical coherence tomography...
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Global relationship memory network for retinal capillary segmentation on optical coherence tomography angiography images
Automatic retinal capillary segmentation is a necessary prerequisite for quantitatively analyzing retinal vessels. In recent years, active research...
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An automated hybrid decoupled convolutional network for laceration segmentation and grading of retinal diseases using optical coherence tomography (OCT) images
Diabetic retinopathy (DR) is a complication of diabetes that damages the retina and can cause blindness if untreated due to high blood sugar levels....
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Unsupervised Image to Image Translation for Multiple Retinal Pathology Synthesis in Optical Coherence Tomography Scans
Image to Image Translation (I2I) is a challenging computer vision problem used in numerous domains for multiple tasks. Recently, ophthalmology became...
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Optical coherence tomography image based eye disease detection using deep convolutional neural network
Over the past few decades, health care industries and medical practitioners faced a lot of obstacles to diagnosing medical-related problems due to...
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Ovarian cancer detection using optical coherence tomography and convolutional neural networks
Ovarian cancer has the sixth-largest fatality rate in the United States among all cancers. A non-surgical assay capable of detecting ovarian cancer...
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RETRACTED ARTICLE: An IoT based predictive modeling for Glaucoma detection in optical coherence tomography images using hybrid genetic algorithm
The primary cause of irreversible blindness due to glaucoma is a silent, progressive disease with no noticeable symptoms. This eye disease gradually...
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Automatic measurement of choroidal thickness and vasculature in optical coherence tomography images of eyes with retinitis pigmentosa
Retinitis pigmentosa (RP) is a group of genetic disorders, characterized by degeneration of photoreceptor cells which is the main cause of choroidal...
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Optical Coherence Elastography Needle for Biomechanical Characterization of Deep Tissue
Compression-based optical coherence elastography (OCE) enables characterization of soft tissue by estimating elastic properties. However, previous...
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A Novel Similarity Measure for Retinal Optical Coherence Tomography Images
Optical coherence tomography (OCT) has become an essential tool for imaging of the retina to perform diagnosis and management of ocular and...
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Compressed Sensing for Optical Coherence Tomography Angiography Volume Generation
Optical coherence tomography angiography (OCTA) is an increasingly popular modality for imaging of the retinal vasculature. Repeated optical...
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Reproducibility of Retinal Vascular Phenotypes Obtained with Optical Coherence Tomography Angiography: Importance of Vessel Segmentation
Optical coherence tomography angiography (OCTA) is a non-invasive imaging method that can visualize the finest vascular networks in the human retina....
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Analysis of Light and Dark Pixel Density Areas on SD-OCT in Diabetes—Is It a Marker of Neuronal Degeneration?
The aim of the study was to analyze the spectral-domain optical coherence tomography (SD-OCT) images in terms of light and dark pixels; thus,...
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Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation
Automated segmentation of retinal optical coherence tomography (OCT) images has become an important recent direction in machine learning for medical...
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Optical Coherence Tomography Latent Fingerprint Image Denoising
Latent fingerprints are fingerprint impressions left on the surfaces a finger comes into contact with. They are found in almost every crime scene....
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Conditional GAN for Prediction of Glaucoma Progression with Macular Optical Coherence Tomography
The estimation of glaucoma progression is a challenging task as the rate of disease progression varies among individuals in addition to other factors...
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3D Deep Learning-based Boundary Regression of an Age-related Retinal Biomarker in High Resolution OCT
Vision is essential for quality of life, but is threatened by visionimpairing diseases like age-related macular degeneration (AMD). A recently...
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SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
Cross-domain distribution shift is a common problem for medical image analysis because medical images from different devices usually own varied...