AIMC Topic: Fundus Oculi
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Development of Classification Criteria for the Uveitides.
American journal of ophthalmology
Apr 20, 2021
PURPOSE: To develop classification criteria for 25 of the most common uveitides.
Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology.
BioMed research international
Apr 20, 2021
In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, noninvasive way by using equipment that is easy to transport. Diabetes mellitus is a chronic disease that affects public health globally. Although diabet...
A method for the automatic detection of myopia in Optos fundus images based on deep learning.
International journal for numerical methods in biomedical engineering
Apr 18, 2021
Myopia detection is significant for preventing irreversible visual impairment and diagnosing myopic retinopathy. To improve the detection efficiency and accuracy, a Myopia Detection Network (MDNet) that combines the advantages of dense connection and...
Classification Criteria for Serpiginous Choroiditis.
American journal of ophthalmology
Apr 15, 2021
PURPOSE: To determine classification criteria for serpiginous choroiditis.
Classification Criteria for Acute Retinal Necrosis Syndrome.
American journal of ophthalmology
Apr 15, 2021
PURPOSE: To determine classification criteria for acute retinal necrosis (ARN).
Classification Criteria for Punctate Inner Choroiditis.
American journal of ophthalmology
Apr 15, 2021
PURPOSE: The purpose of this study was to determine classification criteria for punctate inner choroiditis (PIC).
Classification Criteria for Birdshot Chorioretinitis.
American journal of ophthalmology
Apr 15, 2021
PURPOSE: To determine classification criteria for birdshot chorioretinitis.
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).
Classification Criteria for Acute Posterior Multifocal Placoid Pigment Epitheliopathy.
American journal of ophthalmology
Apr 9, 2021
PURPOSE: To determine classification criteria for acute posterior multifocal placoid pigment epitheliopathy (APMPPE).
A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model.
Computer methods and programs in biomedicine
Apr 8, 2021
BACKGROUND AND OBJECTIVE: Automatic monitoring of retinal blood vessels proves very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This paper presents an efficient and accurate deep learning-based method for vessel ...
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