AIMC Topic: Tomography, Optical Coherence

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Deep-learning-based motion correction in optical coherence tomography angiography.

Journal of biophotonics Aug 3, 2021
Optical coherence tomography angiography (OCTA) is a widely applied tool to image microvascular networks with high spatial resolution and sensitivity. Due to limited imaging speed, the artifacts caused by tissue motion can severely compromise visuali...
Tomography, Optical Coherence Motion Artifacts Angiography Animals Deep Learning Mice
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Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.

Ophthalmology Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Glaucoma, Open-Angle Visual Fields Visual Field Tests Optic Nerve Diseases Algorithms Female Humans Machine Learning ROC Curve Intraocular Pressure Nerve Fibers Aged Vision Disorders Male Retinal Ganglion Cells Adult Multimodal Imaging Middle Aged Cross-Sectional Studies Area Under Curve Tomography, Optical Coherence
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A Multitask Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multicenter Analysis.

Diabetes care Jul 27, 2021
OBJECTIVE: Diabetic macular edema (DME) is the primary cause of vision loss among individuals with diabetes mellitus (DM). We developed, validated, and tested a deep learning (DL) system for classifying DME using images from three common commercially...
Deep Learning ROC Curve Diabetes Mellitus Tomography, Optical Coherence Macular Edema Humans Diabetic Retinopathy
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Diagnosis of retinal disorders from Optical Coherence Tomography images using CNN.

PloS one Jul 27, 2021
An efficient automatic decision support system for detection of retinal disorders is important and is the need of the hour. Optical Coherence Tomography (OCT) is the current imaging modality for the early detection of retinal disorders non-invasively...
Retina ROC Curve Macular Edema Humans Area Under Curve Retinal Diseases Macular Degeneration Neural Networks, Computer Tomography, Optical Coherence Choroidal Neovascularization Sensitivity and Specificity
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Machine learning in optical coherence tomography angiography.

Experimental biology and medicine (Maywood, N.J.) Jul 19, 2021
Optical coherence tomography angiography (OCTA) offers a noninvasive label-free solution for imaging retinal vasculatures at the capillary level resolution. In principle, improved resolution implies a better chance to reveal subtle microvascular dist...
Retinal Diseases Angiography Retinal Vessels Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Capillaries Humans
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Intraoperative assessment of canine soft tissue sarcoma by deep learning enhanced optical coherence tomography.

Veterinary and comparative oncology Jul 5, 2021
Soft tissue sarcoma (STS) is a locally aggressive and infiltrative tumour in dogs. Surgical resection is the treatment of choice for local tumour control. Currently, post-operative pathology is performed for surgical margin assessment. Spectral-domai...
Animals Dog Diseases Sarcoma Margins of Excision Deep Learning Tomography, Optical Coherence Dogs
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Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images.

Ophthalmology. Retina Jul 2, 2021
OBJECTIVE: Diseases such as age-related macular degeneration (AMD) are classified based on human rubrics that are prone to bias. Supervised neural networks trained using human-generated labels require labor-intensive annotations and are restricted to...
Algorithms Prospective Studies Female Reproducibility of Results Humans Neural Networks, Computer Follow-Up Studies Tomography, Optical Coherence Fundus Oculi Fluorescein Angiography Retina Macular Degeneration Middle Aged Aged Severity of Illness Index Aged, 80 and over Deep Learning Male
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Multimodal deep learning with feature level fusion for identification of choroidal neovascularization activity in age-related macular degeneration.

Acta ophthalmologica Jun 23, 2021
PURPOSE: This study aimed to determine the efficacy of a multimodal deep learning (DL) model using optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) images for the assessment of choroidal neovascularization (CNV) ...
Tomography, Optical Coherence Macular Degeneration Choroidal Neovascularization Male Humans Retrospective Studies Middle Aged Female Aged Deep Learning Aged, 80 and over Cross-Sectional Studies
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AI-based monitoring of retinal fluid in disease activity and under therapy.

Progress in retinal and eye research Jun 22, 2021
Retinal fluid as the major biomarker in exudative macular disease is accurately visualized by high-resolution three-dimensional optical coherence tomography (OCT), which is used world-wide as a diagnostic gold standard largely replacing clinical exam...
Humans Artificial Intelligence Subretinal Fluid Visual Acuity Tomography, Optical Coherence Retina
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Autoencoder based self-supervised test-time adaptation for medical image analysis.

Medical image analysis Jun 19, 2021
Deep neural networks have been successfully applied to medical image analysis tasks like segmentation and synthesis. However, even if a network is trained on a large dataset from the source domain, its performance on unseen test domains is not guaran...
Retina Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Tomography, Optical Coherence
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