AIMC Topic: Retina
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Re: Vogl et al.: Predicting topographic disease progression and treatment response of pegcetacoplan in geographic atrophy quantified by deep learning (Ophthalmol Retina. 2023;7:4-13).
Ophthalmology. Retina
May 19, 2023
Efficacy and accuracy of artificial intelligence to overlay multimodal images from different optical instruments in patients with retinitis pigmentosa.
Clinical & experimental ophthalmology
Apr 26, 2023
BACKGROUND: Retinitis pigmentosa (RP) represents a group of progressive, genetically heterogenous blinding diseases. Recently, relationships between measures of retinal function and structure are needed to help identify outcome measures or biomarkers...
Facilitating deep learning through preprocessing of optical coherence tomography images.
BMC ophthalmology
Apr 17, 2023
BACKGROUND: While deep learning has delivered promising results in the field of ophthalmology, the hurdle to complete a deep learning study is high. In this study, we aim to facilitate small scale model trainings by exploring the role of preprocessin...
An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship.
Scientific reports
Apr 12, 2023
The identification of abnormal findings manifested in retinal fundus images and diagnosis of ophthalmic diseases are essential to the management of potentially vision-threatening eye conditions. Recently, deep learning-based computer-aided diagnosis ...
Cynomolgus monkey's retina volume reference database based on hybrid deep learning optical coherence tomography segmentation.
Scientific reports
Apr 9, 2023
Cynomolgus monkeys (Macaca fascicularis) are commonly used in pre-clinical ocular studies. However, studies that report the morphological features of the macaque retina are based only on minimal sample sizes; therefore, little is known about the norm...
Wayfinding artificial intelligence to detect clinically meaningful spots of retinal diseases: Artificial intelligence to help retina specialists in real world practice.
PloS one
Mar 27, 2023
AIM/BACKGROUND: To aim of this study is to develop an artificial intelligence (AI) that aids in the thought process by providing retinal clinicians with clinically meaningful or abnormal findings rather than just a final diagnosis, i.e., a "wayfindin...
Can artificial intelligence accelerate the diagnosis of inherited retinal diseases? Protocol for a data-only retrospective cohort study (Eye2Gene).
BMJ open
Mar 20, 2023
INTRODUCTION: Inherited retinal diseases (IRD) are a leading cause of visual impairment and blindness in the working age population. Mutations in over 300 genes have been found to be associated with IRDs and identifying the affected gene in patients ...
Enhancing retinal images in low-light conditions using semidecoupled decomposition.
Medical & biological engineering & computing
Mar 14, 2023
Eye diseases that are common and many diseases that result in visual ailments, such as diabetes and vascular disease, can be diagnosed through retinal imaging. The enhancement of retinal images often helps in diagnosing diseases related to retinal or...
Automatic vessel crossing and bifurcation detection based on multi-attention network vessel segmentation and directed graph search.
Computers in biology and medicine
Feb 15, 2023
Analysis of the vascular tree is the basic premise to automatically diagnose retinal biomarkers associated with ophthalmic and systemic diseases, among which accurate identification of intersection and bifurcation points is quite challenging but impo...
Deep Learning and Medical Image Processing Techniques for Diabetic Retinopathy: A Survey of Applications, Challenges, and Future Trends.
Journal of healthcare engineering
Feb 2, 2023
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the world. It leads to the complete loss of vision based on the level of severity. It damages both retinal blood vessels and the eye's microscopic interior layer...
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