[HTML][HTML] A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends

A Saranya, R Subhashini - Decision analytics journal, 2023 - Elsevier
Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and
solve common real-world problems. Machine learning and deep learning are Artificial …

[HTML][HTML] Automated glaucoma screening and diagnosis based on retinal fundus images using deep learning approaches: A comprehensive review

MJM Zedan, MA Zulkifley, AA Ibrahim, AM Moubark… - Diagnostics, 2023 - mdpi.com
Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …

Topo-CXR: Chest X-ray TB and Pneumonia Screening with Topological Machine Learning

F Ahmed, B Nuwagira, F Torlak… - Proceedings of the …, 2023 - openaccess.thecvf.com
Examination of chest X-ray images is currently one of the most important methods for the
screening and diagnosis of thoracic diseases and, in some cases, for assessing response to …

[HTML][HTML] An overview of deep-learning-based methods for cardiovascular risk assessment with retinal images

RG Barriada, D Masip - Diagnostics, 2022 - mdpi.com
Cardiovascular diseases (CVDs) are one of the most prevalent causes of premature death.
Early detection is crucial to prevent and address CVDs in a timely manner. Recent advances …

[PDF][PDF] Surface Characteristics Measurement Using Computer Vision: A Review.

AW Hashmi, HS Mali, A Meena… - … in Engineering & …, 2023 - researchgate.net
Computer vision provides image-based solutions to inspect and investigate the quality of the
surface to be measured. For any components to execute their intended functions and …

Generalization in medical AI: a perspective on developing scalable models

JA Behar, J Levy, LA Celi - arXiv preprint arXiv:2311.05418, 2023 - arxiv.org
Over the past few years, research has witnessed the advancement of deep learning models
trained on large datasets, some even encompassing millions of examples. While these …

[HTML][HTML] Eyes as the windows into cardiovascular disease in the era of big data

YK Chan, CY Cheng… - Taiwan Journal of …, 2023 - journals.lww.com
Cardiovascular disease (CVD) is a major cause of mortality and morbidity worldwide and
imposes significant socioeconomic burdens, especially with late diagnoses. There is …

[HTML][HTML] DEF-Net: A dual-encoder fusion network for fundus retinal vessel segmentation

J Li, G Gao, L Yang, Y Liu, H Yu - Electronics, 2022 - mdpi.com
The deterioration of numerous eye diseases is highly related to the fundus retinal structures,
so the automatic retinal vessel segmentation serves as an essential stage for efficient …

A Novel AI based Early Diabetic Retinopathy Detection using Retinal Images

S Navaneethan, NSD Raj… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Diabetic Retinopathy (DR), a common complication of diabetes, is a leading cause of
blindness. Early detection is important to prevent vision loss. This study explores the …

Automatic diagnosis of pediatric high myopia via Attention-based Patch Residual Shrinkage network

H Peng, J Li, W Cheng, L Zhao, Y Guan, Z Li… - Expert Systems with …, 2024 - Elsevier
Fundus images can be obtained non-invasively and be adopted to monitor the follow-up on
various fundus diseases, such as high myopia. Therefore, the use of fundus images for the …