AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review DOI Creative Commons

Niveen Nasr El-Den,

Mohamed Elsharkawy, Ibrahim A. Hameed

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(9)

Published: Aug. 7, 2024

This paper explores the advancements and achievements of artificial intelligence (AI) in computer vision (CV), particularly context diagnosing grading age-related macular degeneration (AMD), one most common leading causes blindness low that impact millions patients globally. Integrating AI biomedical engineering healthcare has significantly enhanced understanding development CV application to mimic human problem-solving abilities. By leveraging AI-based models, ophthalmologists can improve accuracy speed disease diagnosis, enabling early treatment mitigating severity conditions. presents a comprehensive analysis many studies on AMD published between 2014 2024, with more than 80% after 2020. Various methodologies techniques are examined, emphasizing utilizing different retinal imaging modalities like color fundus photography optical coherence tomography (OCT), where 66% used OCT datasets. review aims compare efficacy these approaches, including machine learning deep learning, detecting stages grades based evaluation performance metrics using private public In addition, this introduces some suggested solutions for future work.

Language: Английский

Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization DOI

Bhimavarapu Usharani

Health Information Science and Systems, Journal Year: 2024, Volume and Issue: 12(1)

Published: Aug. 12, 2024

Language: Английский

Citations

4
Detection of coating defects in high gas turbine blades by image processing DOI

Hossein Mehrali,

Alireza S. Sarvestani, Mohsen Mirzaei

et al.

Signal Image and Video Processing, Journal Year: 2025, Volume and Issue: 19(5)

Published: March 6, 2025

Language: Английский

Citations

0
AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review DOI Creative Commons

Niveen Nasr El-Den,

Mohamed Elsharkawy, Ibrahim A. Hameed

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(9)

Published: Aug. 7, 2024

This paper explores the advancements and achievements of artificial intelligence (AI) in computer vision (CV), particularly context diagnosing grading age-related macular degeneration (AMD), one most common leading causes blindness low that impact millions patients globally. Integrating AI biomedical engineering healthcare has significantly enhanced understanding development CV application to mimic human problem-solving abilities. By leveraging AI-based models, ophthalmologists can improve accuracy speed disease diagnosis, enabling early treatment mitigating severity conditions. presents a comprehensive analysis many studies on AMD published between 2014 2024, with more than 80% after 2020. Various methodologies techniques are examined, emphasizing utilizing different retinal imaging modalities like color fundus photography optical coherence tomography (OCT), where 66% used OCT datasets. review aims compare efficacy these approaches, including machine learning deep learning, detecting stages grades based evaluation performance metrics using private public In addition, this introduces some suggested solutions for future work.

Language: Английский

Citations

1