[HTML][HTML] 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 …
A novel framework for potato leaf disease detection using an efficient deep learning model
Potato disease management plays a valuable role in the agriculture field as it might cause a
significant loss in crops production. Therefore, timely recognition and classification of potato …
significant loss in crops production. Therefore, timely recognition and classification of potato …
[HTML][HTML] Machine learning techniques, applications, and potential future opportunities in pressure injuries (bedsores) management: a systematic review
OY Dweekat, SS Lam, L McGrath - International journal of environmental …, 2023 - mdpi.com
Pressure Injuries (PI) are one of the most common health conditions in the United States.
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images
For the clinical diagnosis, it is essential to obtain accurate morphology data of retinal blood
vessels from patients, and the morphology of retinal blood vessels can well help doctors to …
vessels from patients, and the morphology of retinal blood vessels can well help doctors to …
[HTML][HTML] Glaucoma detection and classification using improved U-Net Deep Learning Model
Glaucoma is prominent in a variety of nations, with the United States and Europe being two
of the most famous. Glaucoma now affects around 78 million people throughout the world …
of the most famous. Glaucoma now affects around 78 million people throughout the world …
[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 …
[HTML][HTML] A novel approach for diabetic retinopathy screening using asymmetric deep learning features
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the
domain of computer vision. It is challenging due to structural complexity and a marginal …
domain of computer vision. It is challenging due to structural complexity and a marginal …
[Retracted] Deep Learning for Ocular Disease Recognition: An Inner‐Class Balance
MS Khan, N Tafshir, KN Alam… - Computational …, 2022 - Wiley Online Library
It can be challenging for doctors to identify eye disorders early enough using fundus
pictures. Diagnosing ocular illnesses by hand is time‐consuming, error‐prone, and …
pictures. Diagnosing ocular illnesses by hand is time‐consuming, error‐prone, and …
[HTML][HTML] A robust framework for object detection in a traffic surveillance system
Object recognition is the technique of specifying the location of various objects in images or
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …
videos. There exist numerous algorithms for the recognition of objects such as R-CNN, Fast …
Segmentation and Classification of Glaucoma Using U‐Net with Deep Learning Model
Glaucoma is the second most common cause for blindness around the world and the third
most common in Europe and the USA. Around 78 million people are presently living with …
most common in Europe and the USA. Around 78 million people are presently living with …