Cataract detection based on ocular B-ultrasound images by collaborative monitoring deep learning
In this paper, we collect an ocular B-ultrasound image dataset and propose a Collaborative
Monitoring Deep Learning (CMDL) method to detect cataract. In the ocular B-ultrasound …
Monitoring Deep Learning (CMDL) method to detect cataract. In the ocular B-ultrasound …
Attention-based multi-model ensemble for automatic cataract detection in B-scan eye ultrasound images
X Zhang, J Lv, H Zheng, Y Sang - 2020 international joint …, 2020 - ieeexplore.ieee.org
Accurate detection of early-stage cataract is essential for preventing blindness, but clinical
cataract diagnosis requires the professional knowledge of experienced ophthalmologists …
cataract diagnosis requires the professional knowledge of experienced ophthalmologists …
Automatic cataract detection with multi-task learning
Cataract is one of the most prevalent diseases among the elderly. As the population ages,
the incidence of cataracts is on the rise. Early diagnosis and treatment are essential for …
the incidence of cataracts is on the rise. Early diagnosis and treatment are essential for …
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 …
CataractEyeNet: A novel deep learning approach to detect eye cataract disorder
Humans see the happenings around through the help of eyes. Currently, visual impairment
and blindness have become significantly dangerous health problems. Even though …
and blindness have become significantly dangerous health problems. Even though …
ACCV: automatic classification algorithm of cataract video based on deep learning
S Hu, X Luan, H Wu, X Wang, C Yan, J Wang… - BioMedical Engineering …, 2021 - Springer
Purpose A real-time automatic cataract-grading algorithm based on cataract video is
proposed. Materials and methods In this retrospective study, we set the video of the eye lens …
proposed. Materials and methods In this retrospective study, we set the video of the eye lens …
[Retracted] Cataract Disease Detection by Using Transfer Learning‐Based Intelligent Methods
One of the most common visual disorders is cataracts, which people suffer from as they get
older. The creation of a cloud on the lens of our eyes is known as a cataract. Blurred vision …
older. The creation of a cloud on the lens of our eyes is known as a cataract. Blurred vision …
MTCD: Cataract detection via near infrared eye images
Globally, cataract is a common eye disease and one of the leading causes of blindness and
vision impairment. The traditional process of detecting cataracts involves eye examination …
vision impairment. The traditional process of detecting cataracts involves eye examination …
Incorporating medical domain knowledge into data-driven method: A vessel attention guided multi-granularity network for automatic cataract classification
X Xu, L Zhao, J Li, L Li - Expert Systems with Applications, 2024 - Elsevier
Early cataract screening is essential to help patients prevent irreversible vision loss. Existing
data-driven methods can automatically extract deep fundus features for automatic cataract …
data-driven methods can automatically extract deep fundus features for automatic cataract …
A CNN-LSTM combination network for cataract detection using eye fundus images
According to multiple authoritative authorities, including the World Health Organization,
vision-related impairments and disorders are becoming a significant issue. According to a …
vision-related impairments and disorders are becoming a significant issue. According to a …