Features fusion based novel approach for efficient blood vessel segmentation from fundus images
Insufficient blood flow within the retinal vessels is believed to be the root cause of several
optical problems, including partial vision loss and blindness. The appearance and growth of …
optical problems, including partial vision loss and blindness. The appearance and growth of …
Improved Support Vector Machine based on CNN-SVD for vision-threatening diabetic retinopathy detection and classification
The integration of artificial intelligence (AI) in diagnosing diabetic retinopathy, a major
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
contributor to global vision impairment, is becoming increasingly pronounced. Notably, the …
A Deep Learning System for Detecting Cardiomegaly Disease Based on CXR Image
SE Sorour, AA Wafa, AA Abohany… - International Journal of …, 2024 - Wiley Online Library
The potential of technology to revolutionize healthcare is exemplified by the synergy
between artificial intelligence (AI) and early detection of cardiomegaly, demonstrating the …
between artificial intelligence (AI) and early detection of cardiomegaly, demonstrating the …
Evaluating generative adversarial networks for virtual contrast-enhanced kidney segmentation using Res-UNet in non-contrast CT images
M Syamala, R Chandrasekaran, R Balamurali… - Multimedia Tools and …, 2024 - Springer
This study addresses the challenges of accurately segmenting kidneys in non-contrast CT
images; where Convolutional neural networks (CNNs) perform best. The main goal is to …
images; where Convolutional neural networks (CNNs) perform best. The main goal is to …
MSAMS-Net: accurate lung lesion segmentation from COVID-19 CT images
Z Wang, H Zhu, X Gao - Multimedia Tools and Applications, 2024 - Springer
Abstract The coronavirus disease 2019 (COVID-19) has emerged as a global pandemic,
inflicting significant harm on the health of humans. A crucial objective in combating this …
inflicting significant harm on the health of humans. A crucial objective in combating this …
Detecting refactoring type of software commit messages based on ensemble machine learning algorithms
Refactoring is a well-established topic in contemporary software engineering, focusing on
enhancing software's structural design without altering its external behavior. Commit …
enhancing software's structural design without altering its external behavior. Commit …
IDBNWP: improved deep belief network for workload prediction: hybrid optimization for load balancing in cloud system
The achievement of cloud environment is determined by the efficiency of its load balancing
with proper allocation of resources. The proactive forecasting of future workload …
with proper allocation of resources. The proactive forecasting of future workload …
A novel fusion of genetic grey wolf optimization and kernel extreme learning machines for precise diabetic eye disease classification
In response to the growing number of diabetes cases worldwide, Our study addresses the
escalating issue of diabetic eye disease (DED), a significant contributor to vision loss …
escalating issue of diabetic eye disease (DED), a significant contributor to vision loss …
Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Diabetic retinopathy (DR) significantly burdens ophthalmic healthcare due to its wide
prevalence and high diagnostic costs. Especially in remote areas with limited medical …
prevalence and high diagnostic costs. Especially in remote areas with limited medical …
An explainable Artificial Intelligence software system for predicting diabetes
PN Srinivasu, S Ahmed, M Hassaballah, N Almusallam - Heliyon, 2024 - cell.com
Implementing diabetes surveillance systems is paramount to mitigate the risk of incurring
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …
substantial medical expenses. Currently, blood glucose is measured by minimally invasive …