The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges
Abstract Progress in Information and Communication Technologies (ICTs) is shaping more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology
With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …
An artificial intelligence platform for the multihospital collaborative management of congenital cataracts
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 …
computational medicine. Although AI has been developed for screening and assisted …
CataractNet: An automated cataract detection system using deep learning for fundus images
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 …
and timely detection of cataracts is the best way to control the risk and avoid blindness …
Application of artificial intelligence in cataract management: current and future directions
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 …
In ophthalmology, AI has delivered robust results in the screening and detection of diabetic …
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 …
treatment can reduce the rate of blindness in cataract patients. However, the professional …
Computer-aided diagnosis of cataract using deep transfer learning
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 …
stage, then it may lead to blindness. Earlier detection is the best way to control the risk and …
Exploiting ensemble learning for automatic cataract detection and grading
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 …
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
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) …
screening and diagnosis is crucial to prevent vision loss. Cup-to-Disk Ratio (CDR) …
Automatic cataract grading methods based on deep learning
Background and objective The shortage of ophthalmologists in rural areas in China causes
a lot of cataract patients not getting timely diagnosis and effective treatment. We develop an …
a lot of cataract patients not getting timely diagnosis and effective treatment. We develop an …