Automated glaucoma screening and diagnosis based on retinal fundus images using deep learning approaches: A comprehensive review
Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
[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 …
Artificial intelligence in the diagnosis of glaucoma and neurodegenerative diseases
Artificial Intelligence is a rapidly expanding field within computer science that encompasses
the emulation of human intelligence by machines. Machine learning and deep learning–two …
the emulation of human intelligence by machines. Machine learning and deep learning–two …
Robust peak detection for holter ECGs by self-organized operational neural networks
Although numerous R-peak detectors have been proposed in the literature, their robustness
and performance levels may significantly deteriorate in low-quality and noisy signals …
and performance levels may significantly deteriorate in low-quality and noisy signals …
Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets
Glaucoma damages the optical nerve, which sends visual pictures to the brain, and results
in irreversible vision loss. This chronic infection is the second leading cause of permanent …
in irreversible vision loss. This chronic infection is the second leading cause of permanent …
Blind ECG restoration by operational cycle-GANs
Objective: ECG recordings often suffer from a set of artifacts with varying types, severities,
and durations, and this makes an accurate diagnosis by machines or medical doctors …
and durations, and this makes an accurate diagnosis by machines or medical doctors …
A lightweight deep learning based microwave brain image network model for brain tumor classification using reconstructed microwave brain (rmb) images
Computerized brain tumor classification from the reconstructed microwave brain (RMB)
images is important for the examination and observation of the development of brain …
images is important for the examination and observation of the development of brain …
Brain tumor segmentation and classification from sensor-based portable microwave brain imaging system using lightweight deep learning models
Automated brain tumor segmentation from reconstructed microwave (RMW) brain images
and image classification is essential for the investigation and monitoring of the progression …
and image classification is essential for the investigation and monitoring of the progression …
A novel multimodality based dual fusion integrated approach for efficient and early prediction of glaucoma
As there is currently no exact treatment for glaucoma, early detection and diagnosis are
essential to reduce the risk of this infection. In recent years, Machine learning and deep …
essential to reduce the risk of this infection. In recent years, Machine learning and deep …
Motion artifacts correction from EEG and fNIRS signals using novel multiresolution analysis
MS Hossain, MBI Reaz, MEH Chowdhury… - IEEE …, 2022 - ieeexplore.ieee.org
Physiological signal measurement and processing are increasingly becoming popular in the
ambulatory setting as the hospital-centric treatment is moving towards wearable and …
ambulatory setting as the hospital-centric treatment is moving towards wearable and …