AIMC Topic: Subretinal Fluid

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Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approach.

BMC ophthalmology Jan 27, 2015
BACKGROUND: To investigate machine learning methods, ranging from simpler interpretable techniques to complex (non-linear) "black-box" approaches, for automated diagnosis of Age-related Macular Degeneration (AMD).
Decision Trees Sensitivity and Specificity Macula Lutea Retinal Pigment Epithelium Male Humans Area Under Curve Retinal Drusen ROC Curve Machine Learning Subretinal Fluid Macular Degeneration Image Processing, Computer-Assisted Female Retinal Hemorrhage Aged
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Global-Local Transformer Network for Automatic Retinal Pathological Fluid Segmentation in Optical Coherence Tomography Images.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: As a pivotal biomarker, the accurate segmentation of retinal pathological fluid such as intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED), was a critical task for diagnosis and treatme...
Image Processing, Computer-Assisted Tomography, Optical Coherence Retina Retinal Diseases Subretinal Fluid Humans Neural Networks, Computer Algorithms
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Simple Code Implementation for Deep Learning-Based Segmentation to Evaluate Central Serous Chorioretinopathy in Fundus Photography.

Translational vision science & technology Feb 1, 2022
PURPOSE: Central serous chorioretinopathy (CSC) is a retinal disease that frequently shows resolution and recurrence with serous detachment of the neurosensory retina. Here, we present a deep learning analysis of subretinal fluid (SRF) lesion segment...
Tomography, Optical Coherence Photography Ear Diseases Subretinal Fluid Humans Deep Learning Central Serous Chorioretinopathy
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IMPACT OF RESIDUAL SUBRETINAL FLUID VOLUMES ON TREATMENT OUTCOMES IN A SUBRETINAL FLUID-TOLERANT TREAT-AND-EXTEND REGIMEN.

Retina (Philadelphia, Pa.) Nov 1, 2021
PURPOSE: To investigate associations between residual subretinal fluid (rSRF) volumes, quantified using artificial intelligence and treatment outcomes in a subretinal fluid (SRF)-tolerant treat-and-extend (T&E) regimen in neovascular age-related macu...
Subretinal Fluid Drug Tolerance Visual Acuity Tomography, Optical Coherence Fundus Oculi Vascular Endothelial Growth Factor A Intravitreal Injections Fluorescein Angiography Prospective Studies Ranibizumab Angiogenesis Inhibitors Wet Macular Degeneration Humans Treatment Outcome Artificial Intelligence Follow-Up Studies
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ANALYSIS OF FLUID VOLUME AND ITS IMPACT ON VISUAL ACUITY IN THE FLUID STUDY AS QUANTIFIED WITH DEEP LEARNING.

Retina (Philadelphia, Pa.) Jun 1, 2021
PURPOSE: To investigate quantitative differences in fluid volumes between subretinal fluid (SRF)-tolerant and SRF-intolerant treat-and-extend regimens for neovascular age-related macular degeneration and analyze the association with best-corrected vi...
Deep Learning Visual Acuity Tomography, Optical Coherence Retina Humans Algorithms Subretinal Fluid Intracellular Fluid
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Model-to-Data Approach for Deep Learning in Optical Coherence Tomography Intraretinal Fluid Segmentation.

JAMA ophthalmology Oct 1, 2020
IMPORTANCE: Amid an explosion of interest in deep learning in medicine, including within ophthalmology, concerns regarding data privacy, security, and sharing are of increasing importance. A model-to-data approach, in which the model itself is transf...
Cross-Sectional Studies Male Deep Learning Tomography, Optical Coherence Algorithms Female Reproducibility of Results Aged Wet Macular Degeneration Subretinal Fluid Humans Neural Networks, Computer
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Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

JAMA ophthalmology Sep 1, 2020
IMPORTANCE: Large amounts of optical coherence tomographic (OCT) data of diabetic macular edema (DME) are acquired, but many morphologic features have yet to be identified and quantified.
Vascular Endothelial Growth Factor A Intravitreal Injections Recombinant Fusion Proteins Ranibizumab Receptors, Vascular Endothelial Growth Factor Subretinal Fluid Angiogenesis Inhibitors Follow-Up Studies Visual Acuity Macular Edema Aged Male Middle Aged Deep Learning Algorithms Humans Retrospective Studies Diabetic Retinopathy Female
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OPTICAL COHERENCE TOMOGRAPHY BIOMARKERS TO DISTINGUISH DIABETIC MACULAR EDEMA FROM PSEUDOPHAKIC CYSTOID MACULAR EDEMA USING MACHINE LEARNING ALGORITHMS.

Retina (Philadelphia, Pa.) Dec 1, 2019
PURPOSE: In diabetic patients presenting with macular edema (ME) shortly after cataract surgery, identifying the underlying pathology can be challenging and influence management. Our aim was to develop a simple clinical classifier able to confirm a d...
Humans Diabetic Retinopathy Macular Edema Machine Learning Visual Acuity Retrospective Studies Fluorescein Angiography Sensitivity and Specificity Biomarkers Predictive Value of Tests Female Subretinal Fluid Male Area Under Curve Reproducibility of Results Pseudophakia Middle Aged Aged Tomography, Optical Coherence Diagnosis, Computer-Assisted
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Deep Learning Based Sub-Retinal Fluid Segmentation in Central Serous Chorioretinopathy Optical Coherence Tomography Scans.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Development of an automated sub-retinal fluid segmentation technique from optical coherence tomography (OCT) scans is faced with challenges such as noise and motion artifacts present in OCT images, variation in size, shape and location of fluid pocke...
Tomography, Optical Coherence Retina Humans Subretinal Fluid Central Serous Chorioretinopathy Deep Learning
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Prediction of Anti-VEGF Treatment Requirements in Neovascular AMD Using a Machine Learning Approach.

Investigative ophthalmology & visual science Jun 1, 2017
PURPOSE: The purpose of this study was to predict low and high anti-VEGF injection requirements during a pro re nata (PRN) treatment, based on sets of optical coherence tomography (OCT) images acquired during the initiation phase in neovascular AMD.
Aged, 80 and over Subretinal Fluid Male Middle Aged Choroidal Neovascularization Pilot Projects Humans Tomography, Optical Coherence Vascular Endothelial Growth Factor A ROC Curve Machine Learning Macular Degeneration Female Angiogenesis Inhibitors Ranibizumab Aged Visual Acuity Predictive Value of Tests
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