AIMC Topic: Diagnostic Techniques, Ophthalmological
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Multiple instance learning detects peripheral arterial disease from high-resolution color fundus photography.
Scientific reports
Jan 26, 2022
Peripheral arterial disease (PAD) is caused by atherosclerosis and is a common disease of the elderly leading to excess morbidity and mortality. Early PAD diagnosis is important, as the only available causal therapy is addressing risk factors like sm...
Joint Optimization of CycleGAN and CNN Classifier for Detection and Localization of Retinal Pathologies on Color Fundus Photographs.
IEEE journal of biomedical and health informatics
Jan 17, 2022
Retinal related diseases are the leading cause of vision loss, and severe retinal lesion causes irreversible damage to vision. Therefore, the automatic methods for retinal diseases detection based on medical images is essential for timely treatment. ...
An Efficient Deep Learning Approach to Automatic Glaucoma Detection Using Optic Disc and Optic Cup Localization.
Sensors (Basel, Switzerland)
Jan 7, 2022
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening-based treatment can save the patient from complete vision loss. Accurate...
[Artificial intelligence and glaucoma: A literature review].
Journal francais d'ophtalmologie
Jan 3, 2022
In recent years, research in artificial intelligence (AI) has experienced an unprecedented surge in the field of ophthalmology, in particular glaucoma. The diagnosis and follow-up of glaucoma is complex and relies on a body of clinical evidence and a...
Comment on: Predicting Glaucoma Development With Longitudinal Deep Learning Predictions From Fundus Photographs.
American journal of ophthalmology
Dec 20, 2021
Determination of probability of causative pathogen in infectious keratitis using deep learning algorithm of slit-lamp images.
Scientific reports
Nov 22, 2021
Corneal opacities are important causes of blindness, and their major etiology is infectious keratitis. Slit-lamp examinations are commonly used to determine the causative pathogen; however, their diagnostic accuracy is low even for experienced ophtha...
A Novel Context Aware Joint Segmentation and Classification Framework for Glaucoma Detection.
Computational and mathematical methods in medicine
Nov 5, 2021
Glaucoma is a chronic ocular disease characterized by damage to the optic nerve resulting in progressive and irreversible visual loss. Early detection and timely clinical interventions are critical in improving glaucoma-related outcomes. As a typical...
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.
IEEE transactions on bio-medical engineering
Jun 17, 2021
OBJECTIVE: Glaucoma is the second leading cause of blindness worldwide. Glaucomatous progression can be easily monitored by analyzing the degeneration of retinal ganglion cells (RGCs). Many researchers have screened glaucoma by measuring cup-to-disc ...
A Global and Local Enhanced Residual U-Net for Accurate Retinal Vessel Segmentation.
IEEE/ACM transactions on computational biology and bioinformatics
Jun 3, 2021
Retinal vessel segmentation is a critical procedure towards the accurate visualization, diagnosis, early treatment, and surgery planning of ocular diseases. Recent deep learning-based approaches have achieved impressive performance in retinal vessel ...
Joint optic disc and optic cup segmentation based on boundary prior and adversarial learning.
International journal of computer assisted radiology and surgery
May 8, 2021
PURPOSE: The most direct means of glaucoma screening is to use cup-to-disc ratio via colour fundus photography, the first step of which is the precise segmentation of the optic cup (OC) and optic disc (OD). In recent years, convolution neural network...
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