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Deep learning techniques for diabetic retinopathy classification: A survey
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 …
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
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 …
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
Optimization algorithms are used to improve model accuracy. The optimization process
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
undergoes multiple cycles until convergence. A variety of optimization strategies have been …
[HTML][HTML] Generative artificial intelligence in ophthalmology
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 …
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
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 …
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
Purpose To develop and validate a deep learning model that can transform color fundus
(CF) photography into corresponding venous and late-phase fundus fluorescein …
(CF) photography into corresponding venous and late-phase fundus fluorescein …
[HTML][HTML] Challenges of artificial intelligence in space medicine
The human body undergoes many changes during long-duration spaceflight including
musculoskeletal, visual, and behavioral changes. Several of these microgravity-induced …
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 …
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 …
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
Spaceflight associated neuro-ocular syndrome (SANS) is one of the largest physiologic
barriers to spaceflight and requires evaluation and mitigation for future planetary missions …
barriers to spaceflight and requires evaluation and mitigation for future planetary missions …