Artificial intelligence and corneal diseases
L Kang, D Ballouz, MA Woodward - Current opinion in …, 2022 - journals.lww.com
Artificial intelligence and corneal diseases : Current Opinion in Ophthalmology Artificial
intelligence and corneal diseases : Current Opinion in Ophthalmology Log in or Register …
intelligence and corneal diseases : Current Opinion in Ophthalmology Log in or Register …
Comparison of different corneal imaging modalities using artificial intelligence for diagnosis of keratoconus: a systematic review and meta-analysis
Purpose This review was designed to compare different corneal imaging modalities using
artificial intelligence (AI) for the diagnosis of keratoconus (KCN), subclinical KCN (SKCN) …
artificial intelligence (AI) for the diagnosis of keratoconus (KCN), subclinical KCN (SKCN) …
A deep feature fusion of improved suspected keratoconus detection with deep learning
Detection of early clinical keratoconus (KCN) is a challenging task, even for expert
clinicians. In this study, we propose a deep learning (DL) model to address this challenge …
clinicians. In this study, we propose a deep learning (DL) model to address this challenge …
Comparative Performance Analysis of Transformer-Based Pre-Trained Models for Detecting Keratoconus Disease
This study compares eight pre-trained CNNs for diagnosing keratoconus, a degenerative
eye disease. A carefully selected dataset of keratoconus, normal, and suspicious cases was …
eye disease. A carefully selected dataset of keratoconus, normal, and suspicious cases was …
[HTML][HTML] Keratoconus classification with convolutional neural networks using segmentation and index quantification of eye topography images by particle swarm …
P Subramanian, GP Ramesh - BioMed Research International, 2022 - ncbi.nlm.nih.gov
In keratoconus, the cornea assumes a conical shape due to its thinning and protrusion. Early
detection of keratoconus is vital in preventing vision loss or costly repairs. In corneal …
detection of keratoconus is vital in preventing vision loss or costly repairs. In corneal …
Evaluation of artificial intelligence models for the detection of asymmetric keratoconus eyes using Scheimpflug tomography
Z Xu, R Feng, X Jin, H Hu, S Ni, W Xu… - Clinical & …, 2022 - Wiley Online Library
Background To evaluate artificial intelligence (AI) models based on objective indices and
raw corneal data from the Scheimpflug Pentacam HR system (OCULUS Optikgeräte GmbH …
raw corneal data from the Scheimpflug Pentacam HR system (OCULUS Optikgeräte GmbH …
Keratoconus diagnosis: from fundamentals to artificial intelligence: a systematic narrative review
The remarkable recent advances in managing keratoconus, the most common corneal
ectasia, encouraged researchers to conduct further studies on the disease. Despite the …
ectasia, encouraged researchers to conduct further studies on the disease. Despite the …
Smart decision support system for keratoconus severity staging using corneal curvature and thinnest pachymetry indices
Background This study proposes a decision support system created in collaboration with
machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The …
machine learning experts and ophthalmologists for detecting keratoconus (KC) severity. The …
Potential applications of artificial intelligence in image analysis in cornea diseases: a review
KY Tey, EZK Cheong, M Ang - Eye and Vision, 2024 - Springer
Artificial intelligence (AI) is an emerging field which could make an intelligent healthcare
model a reality and has been garnering traction in the field of medicine, with promising …
model a reality and has been garnering traction in the field of medicine, with promising …
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning
Today, corneal refraction, height, and thickness data, which are required in the diagnosis of
keratoconus, can be obtained with corneal tomography devices. Pentacam four map display …
keratoconus, can be obtained with corneal tomography devices. Pentacam four map display …