AIMC Topic: Central Serous Chorioretinopathy

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Automatic detection of leakage point in central serous chorioretinopathy of fundus fluorescein angiography based on time sequence deep learning.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Apr 12, 2021
PURPOSE: To detect the leakage points of central serous chorioretinopathy (CSC) automatically from dynamic images of fundus fluorescein angiography (FFA) using a deep learning algorithm (DLA).
Humans Artificial Intelligence Deep Learning Tomography, Optical Coherence Fundus Oculi Fluorescein Angiography Central Serous Chorioretinopathy
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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...
Humans Deep Learning Tomography, Optical Coherence Photography Ear Diseases Subretinal Fluid Central Serous Chorioretinopathy
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ASSESSMENT OF CENTRAL SEROUS CHORIORETINOPATHY DEPICTED ON COLOR FUNDUS PHOTOGRAPHS USING DEEP LEARNING.

Retina (Philadelphia, Pa.) Aug 1, 2020
PURPOSE: To investigate whether and to what extent central serous chorioretinopathy (CSC) depicted on color fundus photographs can be assessed using deep learning technology.
Humans Female Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning ROC Curve Area Under Curve Tomography, Optical Coherence Fundus Oculi Photography Ophthalmologists Central Serous Chorioretinopathy
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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...
Humans Deep Learning Tomography, Optical Coherence Retina Subretinal Fluid Central Serous Chorioretinopathy
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