AIMC Topic: Retina

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DilUnet: A U-net based architecture for blood vessels segmentation.

Computer methods and programs in biomedicine Mar 5, 2022
BACKGROUND AND OBJECTIVE: Retinal image segmentation can help clinicians detect pathological disorders by studying changes in retinal blood vessels. This early detection can help prevent blindness and many other vision impairments. So far, several su...
Image Processing, Computer-Assisted Retina Retinal Vessels Neural Networks, Computer
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Detecting visually significant cataract using retinal photograph-based deep learning.

Nature aging Feb 21, 2022
Age-related cataracts are the leading cause of visual impairment among older adults. Many significant cases remain undiagnosed or neglected in communities, due to limited availability or accessibility to cataract screening. In the present study, we r...
Humans Aged Deep Learning Algorithms ROC Curve Retina Cataract
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Force and Velocity Based Puncture Detection in Robot Assisted Retinal Vein Cannulation: In-Vivo Study.

IEEE transactions on bio-medical engineering Feb 21, 2022
OBJECTIVE: Retinal vein cannulation is a technically demanding surgical procedure and its feasibility may rely on using advanced surgical robots equipped with force-sensing microneedles. Reliable detection of the moment of venous puncture is importan...
Needles Catheterization Retinal Vein Retina Punctures Retinal Vein Occlusion Animals Robotics Rabbits Swine
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Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 16, 2022
OCT fluid segmentation is a crucial task for diagnosis and therapy in ophthalmology. The current convolutional neural networks (CNNs) supervised by pixel-wise annotated masks achieve great success in OCT fluid segmentation. However, requiring pixel-w...
Retina Supervised Machine Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Deep learning model using retinal vascular images for classifying schizophrenia.

Schizophrenia research Feb 14, 2022
Contemporary psychiatric diagnosis still relies on the subjective symptom report of the patient during a clinical interview by a psychiatrist. Given the significant variability in personal reporting and differences in the skill set of psychiatrists, ...
Retinal Vessels Humans Algorithms Deep Learning Retina Schizophrenia Fundus Oculi
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Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study.

PloS one Feb 14, 2022
PURPOSE: To evaluate the predictive ability of a deep learning-based algorithm to determine long-term best-corrected distance visual acuity (BCVA) outcomes in neovascular age-related macular degeneration (nARMD) patients using baseline swept-source o...
Receptors, Vascular Endothelial Growth Factor Subretinal Fluid Retinal Detachment Proof of Concept Study Recombinant Fusion Proteins Visual Acuity Adult Tomography, Optical Coherence Deep Learning Humans Retrospective Studies Macular Degeneration Retina Intravitreal Injections
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Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images.

Scientific reports Feb 3, 2022
Central serous chorioretinopathy (CSC) is one of the most common macular diseases that can reduce the quality of life of patients. This study aimed to build a deep learning-based classification model using multiple spectral domain optical coherence t...
Female Aged Adult Humans Case-Control Studies Deep Learning Diagnosis, Differential Male Middle Aged Acute Disease Retina Image Interpretation, Computer-Assisted Chronic Disease Tomography, Optical Coherence Central Serous Chorioretinopathy
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Microscopic retinal blood vessels detection and segmentation using support vector machine and K-nearest neighbors.

Microscopy research and technique Jan 17, 2022
The retina is the deepest layer of texture covering the rear of the eye, recorded by fundus images. Vessel detection and segmentation are useful in disease diagnosis. The retina's blood vessels could help diagnose maladies such as glaucoma, diabetic ...
Fundus Oculi Retina Retinal Vessels Image Processing, Computer-Assisted Support Vector Machine Algorithms
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Joint Optimization of CycleGAN and CNN Classifier for Detection and Localization of Retinal Pathologies on Color Fundus Photographs.

IEEE journal of biomedical and health informatics Jan 17, 2022
Retinal related diseases are the leading cause of vision loss, and severe retinal lesion causes irreversible damage to vision. Therefore, the automatic methods for retinal diseases detection based on medical images is essential for timely treatment. ...
Humans Neural Networks, Computer Retina Diagnostic Techniques, Ophthalmological Image Processing, Computer-Assisted Photography
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Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks.

IEEE transactions on cybernetics Jan 11, 2022
Deep convolutional neural networks (CNNs) have demonstrated impressive performance on many visual tasks. Recently, they became useful models for the visual system in neuroscience. However, it is still not clear what is learned by CNNs in terms of neu...
Neurons Animals Deep Learning Retina Neural Networks, Computer
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