[HTML][HTML] Fundus-deepnet: Multi-label deep learning classification system for enhanced detection of multiple ocular diseases through data fusion of fundus images
S Al-Fahdawi, AS Al-Waisy, DQ Zeebaree, R Qahwaji… - Information …, 2024 - Elsevier
Detecting multiple ocular diseases in fundus images is crucial in ophthalmic diagnosis. This
study introduces the Fundus-DeepNet system, an automated multi-label deep learning …
study introduces the Fundus-DeepNet system, an automated multi-label deep learning …
[HTML][HTML] Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using AS-OCT images
Nuclear cataract (NC) is a leading eye disease for blindness and vision impairment globally.
Accurate and objective NC grading/classification is essential for clinically early intervention …
Accurate and objective NC grading/classification is essential for clinically early intervention …
Structure-consistent restoration network for cataract fundus image enhancement
Fundus photography is a routine examination in clinics to diagnose and monitor ocular
diseases. However, for cataract patients, the fundus image always suffers quality …
diseases. However, for cataract patients, the fundus image always suffers quality …
Structure-Oriented Transformer for retinal diseases grading from OCT images
Retinal diseases are the leading causes of vision temporary or permanent loss. Precise
retinal disease grading is a prerequisite for early intervention or specific therapeutic …
retinal disease grading is a prerequisite for early intervention or specific therapeutic …
Degradation-invariant enhancement of fundus images via pyramid constraint network
As an economical and efficient fundus imaging modality, retinal fundus images have been
widely adopted in clinical fundus examination. Unfortunately, fundus images often suffer …
widely adopted in clinical fundus examination. Unfortunately, fundus images often suffer …
CCA-Net: Clinical-awareness attention network for nuclear cataract classification in AS-OCT
Nuclear cataract (NC) is the leading cause of vision impairment and blindness globally. NC
patients can slow the opacity development with early intervention or recover vision with …
patients can slow the opacity development with early intervention or recover vision with …
A novel CatractNetDetect deep learning model for effective cataract classification through data fusion of fundus images
WN Ismail, HA Alsalamah - Discover Artificial Intelligence, 2024 - Springer
Cataracts are common eye disorders characterized by the clouding of the lens, preventing
light from passing through and impairing vision. Various factors, including changes in the …
light from passing through and impairing vision. Various factors, including changes in the …
[HTML][HTML] The Clinical Usefulness of Evaluating the Lens and Intraocular Lenses Using Optical Coherence Tomography: An Updated Literature Review
JI Fernández-Vigo… - Journal of Clinical …, 2024 - pmc.ncbi.nlm.nih.gov
The Lens Dysfunction Syndrome includes two widespread ocular disorders: presbyopia and
cataract. Understanding its etiology, onset, progression, impact, prevention, and treatment …
cataract. Understanding its etiology, onset, progression, impact, prevention, and treatment …
Regional context-based recalibration network for cataract recognition in AS-OCT
Deep convolutional neural networks (CNNs) have been widely applied to cataract
recognition tasks and have achieved promising results. However, most existing methods …
recognition tasks and have achieved promising results. However, most existing methods …
A deep learning-based ids for automotive theft detection for in-vehicle can bus
Driver behavior features extracted from the controller area network (CAN) have potential
applications in improving vehicle safety. However, the development of a classifier-based …
applications in improving vehicle safety. However, the development of a classifier-based …