Multi-techniques for analyzing x-ray images for early detection and differentiation of pneumonia and tuberculosis based on hybrid features
An infectious disease called tuberculosis (TB) exhibits pneumonia-like symptoms and traits.
One of the most important methods for identifying and diagnosing pneumonia and …
One of the most important methods for identifying and diagnosing pneumonia and …
Deep learning classification of Covid-19, pneumonia, and lung cancer on chest radiographs
Lung illnesses like lung cancer, Covid-19 and pneumonia have in most cases deadly effects
on humans if not immediately treated. In recent times, deep learning with medical imaging …
on humans if not immediately treated. In recent times, deep learning with medical imaging …
Hybrid Activation Function in Deep Learning for Gait Analysis
P Privietha, VJ Raj - … in Electric Vehicles and Energy Sector for …, 2022 - ieeexplore.ieee.org
Various values are carried out in Neural Network Connections, to check whether the
neurons are activated equally or not and the activation layer is called to conduct the process …
neurons are activated equally or not and the activation layer is called to conduct the process …
Recognition and Classification of Medical Images using Convolutional Neural Network
A Makandar, N Jadhav - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Pneumonia diagnosis is indeed challenging and error-prone to diagnose in chest X-ray
pictures as other lung infection transparency is also prominent in the scan. Manually …
pictures as other lung infection transparency is also prominent in the scan. Manually …
A Novel Deep Learning Framework for the Detection of Brain Tumor
Brain Tumor segmentation has been in focus for the past couple of years. Several
researchers have developed state-of-the-art techniques to solve the problem. In recent …
researchers have developed state-of-the-art techniques to solve the problem. In recent …
A Systematic Literature Review on Pulmonary Disease Detection Using Machine Learning
B Debata, SK Mohapatra, R Priyadarshini - Proceedings of the …, 2023 - Springer
Pulmonary disease is a category of respiratory tract infection which affects lungs. The
objective of automatic pulmonary disease detection is to diagnose the disease with state-of …
objective of automatic pulmonary disease detection is to diagnose the disease with state-of …
[HTML][HTML] 双信道注意力机制神经网络的肺炎图像分类研究
曾德洋， 杨鑫荣 - Pure Mathematics, 2025 - hanspub.org
为提高诊断肺炎患者的时效性和精确性, 本文提出了三种基于双信道注意力机制的肺部X
光图像检测模型. 采用了21,158 张肺部X 光图像, 并对原始图像进行图像增强, 几何变化等处理 …
光图像检测模型. 采用了21,158 张肺部X 光图像, 并对原始图像进行图像增强, 几何变化等处理 …
Pneumonia identification and interpretation using convolutional neural network
R Sachdeva, S Banthia, P Madhavan - AIP Conference Proceedings, 2024 - pubs.aip.org
Pneumonia is a prevalent and severe infectious disease affecting millions worldwide. It is
the most common cause of death, claiming more than four million lives yearly. Early …
the most common cause of death, claiming more than four million lives yearly. Early …
A Bag-of-Features (BoF) Based Novel Framework for the Detection of COVID-19
Novel coronavirus (COVID-19) is a hazardous virus. Initially, detected in China and spread
worldwide, causing several deaths. Over time, there have been several variants of COVID …
worldwide, causing several deaths. Over time, there have been several variants of COVID …