Artificial intelligence-assisted diagnosis of ocular surface diseases

Z Zhang, Y Wang, H Zhang, A Samusak… - Frontiers in Cell and …, 2023 - frontiersin.org
With the rapid development of computer technology, the application of artificial intelligence
(AI) in ophthalmology research has gained prominence in modern medicine. Artificial …

Computer-assisted pterygium screening system: A review

SR Abdani, MA Zulkifley, MI Shahrimin, NH Zulkifley - Diagnostics, 2022 - mdpi.com
Pterygium is an eye condition that causes the fibrovascular tissues to grow towards the
corneal region. At the early stage, it is not a harmful condition, except for slight discomfort for …

Implementation and application of an intelligent pterygium diagnosis system based on deep learning

W Xu, L Jin, PZ Zhu, K He, WH Yang… - Frontiers in Psychology, 2021 - frontiersin.org
Objective: This study aims to implement and investigate the application of a special
intelligent diagnostic system based on deep learning in the diagnosis of pterygium using …

Research on an intelligent lightweight‐assisted pterygium diagnosis model based on anterior segment images

B Zheng, Y Liu, K He, M Wu, L Jin, Q Jiang… - Disease …, 2021 - Wiley Online Library
Aims. The lack of primary ophthalmologists in China results in the inability of basic‐level
hospitals to diagnose pterygium patients. To solve this problem, an intelligent‐assisted …

Forest segmentation with spatial pyramid pooling modules: a surveillance system based on satellite images

FX Ru, MA Zulkifley, SR Abdani, M Spraggon - Forests, 2023 - mdpi.com
The global deforestation rate continues to worsen each year, and will eventually lead to
various negative consequences for humans and the environment. It is essential to develop …

[HTML][HTML] Artificial intelligence assisted pterygium diagnosis: current status and perspectives

B Chen, XW Fang, MN Wu, SJ Zhu… - International Journal …, 2023 - ncbi.nlm.nih.gov
Pterygium is a prevalent ocular disease that can cause discomfort and vision impairment.
Early and accurate diagnosis is essential for effective management. Recently, artificial …

Automated bone age assessment with image registration using hand X-ray images

MA Zulkifley, SR Abdani, NH Zulkifley - Applied Sciences, 2020 - mdpi.com
One of the methods for identifying growth disorder is by assessing the skeletal bone age. A
child with a healthy growth rate will have approximately the same chronological and bone …

Pterygium screening and lesion area segmentation based on deep learning

S Zhu, X Fang, Y Qian, K He, M Wu… - Journal of …, 2022 - Wiley Online Library
A two‐category model and a segmentation model of pterygium were proposed to assist
ophthalmologists in establishing the diagnosis of ophthalmic diseases. A total of 367 normal …

Group and shuffle convolutional neural networks with pyramid pooling module for automated pterygium segmentation

SR Abdani, MA Zulkifley, NH Zulkifley - Diagnostics, 2021 - mdpi.com
Pterygium is an eye condition that is prevalent among workers that are frequently exposed to
sunlight radiation. However, most of them are not aware of this condition, which motivates …

Intelligent bone age assessment: An automated system to detect a bone growth problem using convolutional neural networks with attention mechanism

MA Zulkifley, NA Mohamed, SR Abdani, NAM Kamari… - Diagnostics, 2021 - mdpi.com
Skeletal bone age assessment using X-ray images is a standard clinical procedure to detect
any anomaly in bone growth among kids and babies. The assessed bone age indicates the …