[HTML][HTML] Artificial intelligence for visually impaired
J Wang, S Wang, Y Zhang - Displays, 2023 - Elsevier
The eyes are an essential tool for human observation and perception of the world, helping
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
people to perform their tasks. Visual impairment causes many inconveniences in the lives of …
Deep learning for diabetic retinopathy assessments: a literature review
A Skouta, A Elmoufidi, S Jai-Andaloussi… - Multimedia Tools and …, 2023 - Springer
Diabetic retinopathy (DR) is the most important complication of diabetes. Early diagnosis by
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …
Graph neural networks for image‐guided disease diagnosis: A review
L Zhang, Y Zhao, T Che, S Li, X Wang - iRADIOLOGY, 2023 - Wiley Online Library
Medical imaging is playing an increasingly crucial role in disease diagnosis. Numerous
deep learning‐based methods have been developed for image‐guided automatic disease …
deep learning‐based methods have been developed for image‐guided automatic disease …
Graph adversarial transfer learning for diabetic retinopathy classification
J Hu, H Wang, L Wang, Y Lu - IEEE Access, 2022 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is an essential factor that has caused vision loss and even
blindness in middle-aged and older adults. A system that can automatically perform DR …
blindness in middle-aged and older adults. A system that can automatically perform DR …
Motor on-line fault diagnosis method research based on 1D-CNN and multi-sensor information
Y Gu, Y Zhang, M Yang, C Li - Applied Sciences, 2023 - mdpi.com
The motor is the primary impetus source of most mechanical equipment, and its failure will
cause substantial economic losses and safety problems. Therefore, it is necessary to study …
cause substantial economic losses and safety problems. Therefore, it is necessary to study …
Robust tumor segmentation with hyperspectral imaging and graph neural networks
Segmenting the boundary between tumor and healthy tissue during surgical cancer
resection poses a significant challenge. In recent years, Hyperspectral Imaging (HSI) …
resection poses a significant challenge. In recent years, Hyperspectral Imaging (HSI) …
Multi-Label Classification of Fundus Images with Optimized Vision Transformer Based Wasserstein Deep Convolutional Generative Adversarial Network
K Sreekumar, ER Vimina - SN Computer Science, 2024 - Springer
Early retinal disease diagnosis and treatment are essential for preventing the irreversible
vision impairment. The patients in the clinical settings have various kinds of retinal disorders …
vision impairment. The patients in the clinical settings have various kinds of retinal disorders …
New Hybrid Graph Convolution Neural Network with Applications in Game Strategy
H Xu, KP Seng, LM Ang - Electronics, 2023 - mdpi.com
Deep convolutional neural networks (DCNNs) have enjoyed much success in many
applications, such as computer vision, automated medical diagnosis, autonomous systems …
applications, such as computer vision, automated medical diagnosis, autonomous systems …
Pan-Ret: a semi-supervised framework for scalable detection of pan-retinal diseases
R Banerjee, R Mujib, P Sanyal, T Chakraborti… - Medical & Biological …, 2024 - Springer
It has been shown in recent years that a range of optical diseases have early manifestation
in retinal fundus images. It is becoming increasingly important to separate the regions of …
in retinal fundus images. It is becoming increasingly important to separate the regions of …
Diagnosis of Multiple Fundus Disorders Amidst a Scarcity of Medical Experts Via Self-supervised Machine Learning
Fundus diseases are major causes of visual impairment and blindness worldwide,
especially in underdeveloped regions, where the shortage of ophthalmologists hinders …
especially in underdeveloped regions, where the shortage of ophthalmologists hinders …