Identification of diabetic retinopathy using weighted fusion deep learning based on dual-channel fundus scans
It is a well-known fact that diabetic retinopathy (DR) is one of the most common causes of
visual impairment between the ages of 25 and 74 around the globe. Diabetes is caused by …
visual impairment between the ages of 25 and 74 around the globe. Diabetes is caused by …
[HTML][HTML] ResfEANet: ResNet-fused external attention network for tuberculosis diagnosis using chest X-ray images
Pulmonary tuberculosis (TB), the most prevalent form of TB, remains a major global public
health concern, contributing to more than a million deaths each year. The accurate and …
health concern, contributing to more than a million deaths each year. The accurate and …
Multi-channel based image processing scheme for pneumonia identification
Pneumonia is a prevalent severe respiratory infection that affects the distal and alveoli
airways. Across the globe, it is a serious public health issue that has caused high mortality …
airways. Across the globe, it is a serious public health issue that has caused high mortality …
Covid-19 identification from low-quality computed tomography using a modified enhanced super-resolution generative adversarial network plus and siamese capsule …
Computed Tomography has become a vital screening method for the detection of
coronavirus 2019 (COVID-19). With the high mortality rate and overload for domain experts …
coronavirus 2019 (COVID-19). With the high mortality rate and overload for domain experts …
[HTML][HTML] Fine-tuned siamese network with modified enhanced super-resolution gan plus based on low-quality chest x-ray images for covid-19 identification
Coronavirus disease has rapidly spread globally since early January of 2020. With millions
of deaths, it is essential for an automated system to be utilized to aid in the clinical diagnosis …
of deaths, it is essential for an automated system to be utilized to aid in the clinical diagnosis …
The Capability of Wavelet Convolutional Neural Network for Detecting Cyber Attack of Distributed Denial of Service in Smart Grid
JP Li, GU Nneji, AZ Yutra, BD Lemessa… - … on Wavelet Active …, 2021 - ieeexplore.ieee.org
The electrical system's dependability, security, and efficiency are all improved through smart
grid technologies. Its dependence on digital communication technology, on the other hand …
grid technologies. Its dependence on digital communication technology, on the other hand …
[HTML][HTML] COVID-19 diagnosis from chest X-ray images using a robust multi-resolution analysis siamese neural network with super-resolution convolutional neural …
Chest X-ray (CXR) is becoming a useful method in the evaluation of coronavirus disease 19
(COVID-19). Despite the global spread of COVID-19, utilizing a computer-aided diagnosis …
(COVID-19). Despite the global spread of COVID-19, utilizing a computer-aided diagnosis …
COVID-19 pneumonia classification based on NeuroWavelet capsule network
Since it was first reported, coronavirus disease 2019, also known as COVID-19, has spread
expeditiously around the globe. COVID-19 must be diagnosed as soon as possible in order …
expeditiously around the globe. COVID-19 must be diagnosed as soon as possible in order …
A Dual Weighted Shared Capsule Network for Diabetic Retinopathy Fundus Classification
GU Nneji, J Cai, J Deng, S Nahar… - … Conference on High …, 2021 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is as a result of prolonged high blood glucose level leading to
blood vessel complications and loss of eyesight. Early detection could reduce the risk of non …
blood vessel complications and loss of eyesight. Early detection could reduce the risk of non …
Shared Weighted Continuous Wavelet Capsule Network for Electrocardiogram Biometric Identification
In recent times, researchers are showing more interest in the subject of biometric
identification, which uses biological traits to confirm a user's identity. Traditional …
identification, which uses biological traits to confirm a user's identity. Traditional …