A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
Artificial intelligence technologies such as machine learning and deep learning employ
techniques to anticipate results more effectively without human involvement. Since AI …
techniques to anticipate results more effectively without human involvement. Since AI …
Deep learning approach for differentiating etiologies of pediatric retinal hemorrhages: a multicenter study
Retinal hemorrhages in pediatric patients can be a diagnostic challenge for
ophthalmologists. These hemorrhages can occur due to various underlying etiologies …
ophthalmologists. These hemorrhages can occur due to various underlying etiologies …
A Comprehensive Survey on Detection of Ocular and Non-Ocular Diseases Using Color Fundus Images
M Gupta, S Gupta, G Palanisamy, JS Nisha… - IEEE …, 2024 - ieeexplore.ieee.org
This study examines the application of color fundus imaging for detecting both ocular and
non-ocular diseases using recent advancements in machine learning techniques. Fundus …
non-ocular diseases using recent advancements in machine learning techniques. Fundus …
Automatic detection and differential diagnosis of age-related macular degeneration from color fundus photographs using deep learning with hierarchical vision …
K Xu, S Huang, Z Yang, Y Zhang, Y Fang… - Computers in Biology …, 2023 - Elsevier
Age-related macular degeneration (AMD) is a leading cause of vision loss in the elderly,
highlighting the need for early and accurate detection. In this study, we proposed …
highlighting the need for early and accurate detection. In this study, we proposed …
[HTML][HTML] Deep Learning Approach for Age-related Macular Degeneration Detection Using Retinal Images: Efficacy Evaluation of Different Deep Learning Models
Age-related macular degeneration (AMD) is a typical fundus disease that affects the central
vision of elderly people. It causes difficulties in everyday activities such as reading and …
vision of elderly people. It causes difficulties in everyday activities such as reading and …
Artificial intelligence-assisted management of retinal detachment from ultra-widefield fundus images based on weakly-supervised approach
H Li, J Cao, K You, Y Zhang, J Ye - Frontiers in Medicine, 2024 - frontiersin.org
Background Retinal detachment (RD) is a common sight-threatening condition in the
emergency department. Early postural intervention based on detachment regions can …
emergency department. Early postural intervention based on detachment regions can …
[PDF][PDF] IoT-Opthom-CAD: IoT-Enabled Classification System of Multiclass Retinal Eye Diseases Using Dynamic Swin Transformers and Explainable Artificial …
Integrating Internet of Things (IoT)-assisted eye-related recognition incorporates connected
devices and sensors for primary analysis and monitoring of eye conditions. Recent …
devices and sensors for primary analysis and monitoring of eye conditions. Recent …
Empowering Portable Age-Related Macular Degeneration Screening: Evaluation of a Deep Learning Algorithm for a Smartphone Fundus Camera
Objectives Despite global research on early detection of age-related macular degeneration
(AMD), not enough is being done for large-scale screening. Automated analysis of retinal …
(AMD), not enough is being done for large-scale screening. Automated analysis of retinal …
Multiscale Color Guided Attention Ensemble Classifier for Age-Related Macular Degeneration Using Concurrent Fundus and Optical Coherence Tomography Images
Automatic diagnosis techniques have evolved to identify age-related macular degeneration
(AMD) by employing single modality Fundus images or optical coherence tomography …
(AMD) by employing single modality Fundus images or optical coherence tomography …
[HTML][HTML] Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers
HW Feng, JJ Chen, ZC Zhang, SC Zhang… - International Journal of …, 2023 - ncbi.nlm.nih.gov
AIM To explore the latest application of artificial intelligence (AI) in optical coherence
tomography (OCT) images, and to analyze the current research status of AI in OCT, and …
tomography (OCT) images, and to analyze the current research status of AI in OCT, and …