AIMC Topic: Choroid

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Quantitative analysis of deep learning-based denoising model efficacy on optical coherence tomography images with different noise levels.

Photodiagnosis and photodynamic therapy Nov 9, 2023
BACKGROUND: To quantitatively evaluate the effectiveness of the Noise2Noise (N2N) model, a deep learning (DL)-based noise reduction algorithm, on enhanced depth imaging-optical coherence tomography (EDI-OCT) images with different noise levels.
Humans Tomography, Optical Coherence Photochemotherapy Photosensitizing Agents Deep Learning Choroid
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Application of Artificial Intelligence to Quantitative Assessment of Fundus Tessellated Density in Young Adults with Different Refractions.

Ophthalmic research Feb 28, 2023
INTRODUCTION: The aim of this study was to quantitatively assess fundus tessellated density (FTD) and associated factors by artificial intelligence (AI) in young adults.
Humans Artificial Intelligence Young Adult Tomography, Optical Coherence Fundus Oculi Adolescent Frontotemporal Dementia Choroid Adult Male
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Deep learning based diagnostic quality assessment of choroidal OCT features with expert-evaluated explainability.

Scientific reports Jan 28, 2023
Various vision-threatening eye diseases including age-related macular degeneration (AMD) and central serous chorioretinopathy (CSCR) are caused due to the dysfunctions manifested in the highly vascular choroid layer of the posterior segment of the ey...
Choroid Diseases Choroid Tomography, Optical Coherence Humans Deep Learning
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Efficient and Consistent Generation of Retinal Pigment Epithelium/Choroid Flatmounts from Human Eyes for Histological Analysis.

Journal of visualized experiments : JoVE Oct 28, 2022
The retinal pigment epithelium (RPE) and retina are functionally and structurally connected tissues that work together to regulate light perception and vision. Proteins on the RPE apical surface are tightly associated with proteins on the photorecept...
Choroid Retina Animals Proteins Retinal Pigment Epithelium Photoreceptor Cells Humans Artificial Intelligence
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Differentiating a pachychoroid and healthy choroid using an unsupervised machine learning approach.

Scientific reports Sep 29, 2022
The purpose of this study was to introduce a new machine learning approach for differentiation of a pachychoroid from a healthy choroid based on enhanced depth-optical coherence tomography (EDI-OCT) imaging. This study included EDI-OCT images of 103 ...
Acrylic Resins Hydrazines Neuroblastoma Unsupervised Machine Learning Choroid Humans Reproducibility of Results
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Cynomolgus monkey's choroid reference database derived from hybrid deep learning optical coherence tomography segmentation.

Scientific reports Aug 2, 2022
Cynomolgus monkeys exhibit human-like features, such as a fovea, so they are often used in non-clinical research. Nevertheless, little is known about the natural variation of the choroidal thickness in relation to origin and sex. A combination of dee...
Deep Learning Choroid Macaca fascicularis Humans Tomography, Optical Coherence Fovea Centralis Animals
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Predicting persistent central serous chorioretinopathy using multiple optical coherence tomographic images by deep learning.

Scientific reports Jun 4, 2022
We sought to predict whether central serous chorioretinopathy (CSC) will persist after 6 months using multiple optical coherence tomography (OCT) images by deep convolutional neural network (CNN). This was a multicenter, retrospective, cohort study. ...
Fluorescein Angiography Retrospective Studies Central Serous Chorioretinopathy Deep Learning Humans Cohort Studies Choroid Tomography, Optical Coherence
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Automatic Segmentation and Measurement of Choroid Layer in High Myopia for OCT Imaging Using Deep Learning.

Journal of digital imaging May 17, 2022
Automatic segmentation and measurement of the choroid layer is useful in studying of related fundus diseases, such as diabetic retinopathy and high myopia. However, most algorithms are not helpful for choroid layer segmentation due to its blurred bou...
Tomography, Optical Coherence Deep Learning Choroid Humans Diabetic Retinopathy Myopia
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Correlation of choroidal thickness with age in healthy subjects: automatic detection and segmentation using a deep learning model.

International ophthalmology Apr 5, 2022
PROPOSE: The proposed deep learning model with a mask region-based convolutional neural network (Mask R-CNN) can predict choroidal thickness automatically. Changes in choroidal thickness with age can be detected with manual measurements. In this stud...
Choroid Middle Aged Humans Healthy Volunteers Tomography, Optical Coherence Aged Deep Learning Fovea Centralis
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Synergistically segmenting choroidal layer and vessel using deep learning for choroid structure analysis.

Physics in medicine and biology Apr 1, 2022
. The choroid is the most vascularized structure in the human eye, whose layer structure and vessel distribution are both critical for the physiology of the retina, and disease pathogenesis of the eye. Although some works have used graph-based method...
Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Choroid Retina
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