AIMC Topic: Eye Infections, Fungal

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Deep learning by Vision Transformer to classify bacterial and fungal keratitis using different types of anterior segment images.

Computers in biology and medicine Mar 18, 2025
PURPOSE: To develop three novel Vision Transformer (ViT) frameworks for the specific diagnosis of bacterial and fungal keratitis using different types of anterior segment images and compare their performances.
Middle Aged Deep Learning Male Keratitis Anterior Eye Segment Eye Infections, Fungal Image Processing, Computer-Assisted Eye Infections, Bacterial Humans Aged Adult Retrospective Studies Female
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Application of Deep Learning Algorithms Based on the Multilayer Y0L0v8 Neural Network to Identify Fungal Keratitis.

Sovremennye tekhnologii v meditsine Aug 30, 2024
UNLABELLED: is to develop a method for diagnosing fungal keratitis based on the analysis of photographs of the anterior segment of the eye using deep learning algorithms with subsequent evaluation of sensitivity and specificity of the method on a te...
Humans Neural Networks, Computer Keratitis Deep Learning Algorithms Sensitivity and Specificity Eye Infections, Fungal Image Processing, Computer-Assisted
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From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based study.

Scientific reports Dec 14, 2023
Infectious keratitis (IK) is a major cause of corneal opacity. IK can be caused by a variety of microorganisms. Typically, fungal ulcers carry the worst prognosis. Fungal cases can be subdivided into filamentous and yeasts, which shows fundamental di...
Corneal Ulcer Eye Infections, Fungal Artificial Intelligence Keratitis Deep Learning Eye Infections, Bacterial Humans
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Interpretable deep learning for diagnosis of fungal and acanthamoeba keratitis using in vivo confocal microscopy images.

Scientific reports Jun 2, 2023
Infectious keratitis refers to a group of corneal disorders in which corneal tissues suffer inflammation and damage caused by pathogenic infections. Among these disorders, fungal keratitis (FK) and acanthamoeba keratitis (AK) are particularly severe ...
Eye Infections, Fungal Corneal Ulcer Humans Artificial Intelligence Microscopy, Confocal Acanthamoeba Keratitis Cornea Deep Learning
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Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning.

Ophthalmology Aug 2, 2021
PURPOSE: To develop and evaluate an automated, portable algorithm to differentiate active corneal ulcers from healed scars using only external photographs.
False Positive Reactions Eye Infections, Bacterial Photography Slit Lamp Microscopy Algorithms Area Under Curve Retrospective Studies Cicatrix Humans Predictive Value of Tests ROC Curve Wound Healing Sensitivity and Specificity Deep Learning Corneal Ulcer Eye Infections, Fungal
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A deep learning approach in diagnosing fungal keratitis based on corneal photographs.

Scientific reports Sep 2, 2020
Fungal keratitis (FK) is the most devastating and vision-threatening microbial keratitis, but clinical diagnosis a great challenge. This study aimed to develop and verify a deep learning (DL)-based corneal photograph model for diagnosing FK. Corneal ...
Deep Learning Optical Imaging Photography Corneal Ulcer Sensitivity and Specificity Cornea Humans Eye Infections, Fungal
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