Deep learning techniques for diabetic retinopathy classification: A survey

MZ Atwany, AH Sahyoun, M Yaqub - IEEE Access, 2022 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …

Generative adversarial networks in medicine: important considerations for this emerging innovation in artificial intelligence

PS Paladugu, J Ong, N Nelson, SA Kamran… - Annals of biomedical …, 2023 - Springer
The advent of artificial intelligence (AI) and machine learning (ML) has revolutionized the
field of medicine. Although highly effective, the rapid expansion of this technology has …

The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study

E Hassan, MY Shams, NA Hikal, S Elmougy - Multimedia Tools and …, 2023 - Springer
Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …

[HTML][HTML] Generative artificial intelligence in ophthalmology

E Waisberg, J Ong, SA Kamran, M Masalkhi… - Survey of …, 2024 - Elsevier
Generative AI has revolutionized medicine over the past several years. A generative
adversarial network (GAN) is a deep learning framework that has become a powerful …

Vtgan: Semi-supervised retinal image synthesis and disease prediction using vision transformers

SA Kamran, KF Hossain, A Tavakkoli… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract In Fluorescein Angiography (FA), an exogenous dye is injected in the bloodstream
to image the vascular structure of the retina. The injected dye can cause adverse reactions …

[HTML][HTML] Translation of color fundus photography into fluorescein angiography using deep learning for enhanced diabetic retinopathy screening

D Shi, W Zhang, S He, Y Chen, F Song, S Liu… - Ophthalmology …, 2023 - Elsevier
Purpose To develop and validate a deep learning model that can transform color fundus
(CF) photography into corresponding venous and late-phase fundus fluorescein …

[HTML][HTML] Challenges of artificial intelligence in space medicine

E Waisberg, J Ong, P Paladugu… - Space: Science & …, 2022 - spj.science.org
The human body undergoes many changes during long-duration spaceflight including
musculoskeletal, visual, and behavioral changes. Several of these microgravity-induced …

[HTML][HTML] Computational methods for liver vessel segmentation in medical imaging: A review

M Ciecholewski, M Kassjański - Sensors, 2021 - mdpi.com
The segmentation of liver blood vessels is of major importance as it is essential for
formulating diagnoses, planning and delivering treatments, as well as evaluating the results …

Updates in deep learning research in ophthalmology

WY Ng, S Zhang, Z Wang, CJT Ong… - Clinical …, 2021 - portlandpress.com
Ophthalmology has been one of the early adopters of artificial intelligence (AI) within the
medical field. Deep learning (DL), in particular, has garnered significant attention due to the …

SANS-CNN: An automated machine learning technique for spaceflight associated neuro-ocular syndrome with astronaut imaging data

SA Kamran, KF Hossain, J Ong, N Zaman… - npj …, 2024 - nature.com
Spaceflight associated neuro-ocular syndrome (SANS) is one of the largest physiologic
barriers to spaceflight and requires evaluation and mitigation for future planetary missions …