Multi-Dataset Comparison of Vision Transformers and Convolutional Neural Networks for Detecting Glaucomatous Optic Neuropathy from Fundus Photographs
Glaucomatous optic neuropathy (GON) can be diagnosed and monitored using fundus
photography, a widely available and low-cost approach already adopted for automated …
photography, a widely available and low-cost approach already adopted for automated …
[HTML][HTML] Artificial Intelligence for Optical Coherence Tomography in Glaucoma
MB Djulbegovic, H Bair, DJT Gonzalez… - … Vision Science & …, 2025 - iovs.arvojournals.org
Purpose: The integration of artificial intelligence (AI), particularly deep learning (DL), with
optical coherence tomography (OCT) offers significant opportunities in the diagnosis and …
optical coherence tomography (OCT) offers significant opportunities in the diagnosis and …
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement
While diffusion models demonstrate a remarkable capability for generating high-quality
images, their tendency to 'replicate'training data raises privacy concerns. Although recent …
images, their tendency to 'replicate'training data raises privacy concerns. Although recent …
Diagnostic criteria of anterior segment swept-source optical coherence tomography to detect gonioscopic angle closure
Aims To compare the diagnostic performance of 360° anterior segment optical coherence
tomography assessment by applying normative percentile cut-offs versus iris trabecular …
tomography assessment by applying normative percentile cut-offs versus iris trabecular …
[HTML][HTML] Generative AI Enhancements for Reducing Image-Based Training Data Requirements
Objective Training data fuel and shape the development of AI models. Intensive data
requirements are a major bottleneck limiting the success of AI tools in sectors with inherently …
requirements are a major bottleneck limiting the success of AI tools in sectors with inherently …
A Review of Glaucoma Optic Disk Localization and Classification Machine Learning and Deep Learning Models
A Jain, V Sakalle - International Journal of Innovative Research in …, 2024 - ijirts.org
This review aims to comprehensively synthesise recent advancements in machine learning
(ML) and deep learning (DL) models specifically designed for localising and classifying the …
(ML) and deep learning (DL) models specifically designed for localising and classifying the …
Glaucoma Detection through Synergistic Combination of Image Processing and Deep CNN using MATLAB
B Subbarayudu, H Yadalam, J Seepiri… - 2024 5th International …, 2024 - ieeexplore.ieee.org
This study introduces an innovative Glaucoma detection framework that significantly
outperforms existing methodologies by employing a hybrid approach combining advanced …
outperforms existing methodologies by employing a hybrid approach combining advanced …