AIMC Topic: Tomography, Optical Coherence
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Classification of neck tissues in OCT images by using convolutional neural network.
Lasers in medical science
Dec 24, 2022
Identification and classification of surrounding neck tissues are very important in thyroid surgery. The advantages of optical coherence tomography (OCT), high resolution, non-invasion, and non-destruction make it have great potential in identifying ...
Deep learning-based 3D OCT imaging for detection of lamina cribrosa defects in eyes with high myopia.
Scientific reports
Dec 23, 2022
The lamina cribrosa (LC) is a collagenous tissue located in the optic nerve head, and its dissection is observed in eyes with pathologic myopia as a LC defect (LCD). The diagnosis of LCD has been difficult because the LC is located deep beneath the r...
KFWC: A Knowledge-Driven Deep Learning Model for Fine-grained Classification of Wet-AMD.
Computer methods and programs in biomedicine
Dec 15, 2022
BACKGROUND AND OBJECTIVES: Automated diagnosis using deep neural networks can help ophthalmologists detect the blinding eye disease wet Age-related Macular Degeneration (AMD). Wet-AMD has two similar subtypes, Neovascular AMD and Polypoidal Choroidal...
Robot-assisted subretinal injection system: development and preliminary verification.
BMC ophthalmology
Dec 12, 2022
BACKGROUND: To design and develop a surgical robot capable of assisting subretinal injection.
Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma.
Scientific reports
Dec 5, 2022
Close monitoring of central visual field (VF) defects with 10-2 VF helps prevent blindness in glaucoma. We aimed to develop a deep learning model to predict 10-2 VF from wide-field swept-source optical coherence tomography (SS-OCT) images. Macular ga...
Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance.
Computers in biology and medicine
Nov 30, 2022
Anterior segment optical coherence tomography (AS-OCT) is a fundamental ophthalmic imaging technique. AS-OCT images can be examined by experts and segmented to provide quantitative metrics that inform clinical decision making. Manual segmentation of ...
Generative adversarial network-based deep learning approach in classification of retinal conditions with optical coherence tomography images.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Nov 28, 2022
PURPOSE: To determine whether a deep learning approach using generative adversarial networks (GANs) is beneficial for the classification of retinal conditions with Optical coherence tomography (OCT) images.
Multi-Scale Reconstruction of Undersampled Spectral-Spatial OCT Data for Coronary Imaging Using Deep Learning.
IEEE transactions on bio-medical engineering
Nov 23, 2022
Coronary artery disease (CAD) is a cardiovascular condition with high morbidity and mortality. Intravascular optical coherence tomography (IVOCT) has been considered as an optimal imagining system for the diagnosis and treatment of CAD. Constrained b...
Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT.
Ophthalmology. Glaucoma
Nov 18, 2022
PURPOSE: To develop and validate a deep learning (DL) model for detection of glaucoma progression using spectral-domain (SD)-OCT measurements of retinal nerve fiber layer (RNFL) thickness.
Diseased thyroid tissue classification in OCT images using deep learning: Towards surgical decision support.
Journal of biophotonics
Nov 11, 2022
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 t...
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