The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges

G Aceto, V Persico, A Pescapé - Journal of Network and Computer …, 2018 - Elsevier
Abstract Progress in Information and Communication Technologies (ICTs) is sha** more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …

Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology

DSJ Ting, VHX Foo, LWY Yang, JT Sia… - British journal of …, 2021 - bjo.bmj.com
With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …

CataractNet: An automated cataract detection system using deep learning for fundus images

MS Junayed, MB Islam, A Sadeghzadeh… - IEEE …, 2021 - ieeexplore.ieee.org
Cataract is one of the most common eye disorders that causes vision distortion. Accurate
and timely detection of cataracts is the best way to control the risk and avoid blindness …

An artificial intelligence platform for the multihospital collaborative management of congenital cataracts

E Long, H Lin, Z Liu, X Wu, L Wang, J Jiang… - Nature biomedical …, 2017 - nature.com
Using artificial intelligence (AI) to prevent and treat diseases is an ultimate goal in
computational medicine. Although AI has been developed for screening and assisted …

[PDF][PDF] Combining Artificial Intelligence and Image Processing for Diagnosing Diabetic Retinopathy in Retinal Fundus Images.

OM Al-hazaimeh, AA Abu-Ein, NM Tahat… - … Journal of Online & …, 2022 - researchgate.net
Retinopathy is an eye disease caused by diabetes, and early detection and treatment can
potentially reduce the risk of blindness in diabetic retinopathy sufferers. Using retinal Fundus …

Application of artificial intelligence in cataract management: current and future directions

L Gutierrez, JS Lim, LL Foo, WY Ng, M Yip, GYS Lim… - Eye and Vision, 2022 - Springer
The rise of artificial intelligence (AI) has brought breakthroughs in many areas of medicine.
In ophthalmology, AI has delivered robust results in the screening and detection of diabetic …

Computer-aided diagnosis of cataract using deep transfer learning

T Pratap, P Kokil - Biomedical Signal Processing and Control, 2019 - Elsevier
Cataract is a leading eye disease across the world. If cataract is not diagnosed in earlier
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …

A hybrid global-local representation CNN model for automatic cataract grading

X Xu, L Zhang, J Li, Y Guan… - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
Cataract is one of the most serious eye diseases leading to blindness. Early detection and
treatment can reduce the rate of blindness in cataract patients. However, the professional …

Exploiting ensemble learning for automatic cataract detection and grading

JJ Yang, J Li, R Shen, Y Zeng, J He, J Bi, Y Li… - Computer methods and …, 2016 - Elsevier
Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is one
of the most common causes of visual impairment worldwide. Early diagnosis demands the …

C2FTFNet: Coarse-to-fine transformer network for joint optic disc and cup segmentation

Y Yi, Y Jiang, B Zhou, N Zhang, J Dai, X Huang… - Computers in Biology …, 2023 - Elsevier
Glaucoma is a leading cause of worldwide blindness and visual impairment, making early
screening and diagnosis is crucial to prevent vision loss. Cup-to-Disk Ratio (CDR) …