CNN architecture for lung cancer detection
C Tejaswini, P Nagabushanam… - 2022 IEEE 11th …, 2022 - ieeexplore.ieee.org
Lungs play major role for the respiratory rate in a human being. Lung cancer can be
detected only after the disease spreads to neighboring parts and hence detecting lung …
detected only after the disease spreads to neighboring parts and hence detecting lung …
Identification of high-risk population of pneumoconiosis using deep learning segmentation of lung 3D images and radiomics texture analysis
Y Liu, J Wu, J Zhou, J Guo, C Liang, Y Xing… - Computer Methods and …, 2024 - Elsevier
Objection The aim of this study is to develop an early-warning model for identifying high-risk
populations of pneumoconiosis by combining lung 3D images and radiomics lung texture …
populations of pneumoconiosis by combining lung 3D images and radiomics lung texture …
A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images
The human respiratory system is affected when an individual is infected with COVID-19,
which became a global pandemic in 2020 and affected millions of people worldwide …
which became a global pandemic in 2020 and affected millions of people worldwide …
Machine Learning-Based Prediction & Analysis of COVID-19 using Clinical Data
R Deva, SPS Chauhan - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
The novel corona virus (COVID-19), was initially seen in some cities of China in Dec 2019
and then spread exponentially in the entire world and converted into the worldwide …
and then spread exponentially in the entire world and converted into the worldwide …
[HTML][HTML] Methods for Assessing the Psychological Tension of Social Network Users during the Coronavirus Pandemic and Its Uses for Predictive Analysis
This article address approaches to the development of methods for assessing the
psychological state of social network members during the coronavirus pandemic through …
psychological state of social network members during the coronavirus pandemic through …
Integrating Data Augmentation with AdaBoost for Effective COVID-19 Pneumonia Classification
M Suliman, F Malik, MQ Khan, I Ullah, AU Rub - Journal of Computing & …, 2024 - jcbi.org
In the COVID-19 pandemic, the urgent need for precise pneumonia diagnosis has prompted
this research to propose a customized AdaBoost algorithm tailored for classifying COVID-19 …
this research to propose a customized AdaBoost algorithm tailored for classifying COVID-19 …
COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolutional Neural Network (GANs-CNN) Model
K Anil Kumar, B Neupane, S Malla… - … Conference on Recent …, 2023 - Springer
This study primarily focuses on a novel approach to Covid-19 prediction utilizing X-ray
images. The images are used for the initial stage of training of the CNN Convolution neural …
images. The images are used for the initial stage of training of the CNN Convolution neural …
Multi Deep Learning Based Approaches for COVID-19 Diagnosis Using Class Resampling on Chest X-ray Images
Nowadays, current medical imaging techniques provide means of diagnosing disorders like
the recent COVID-19 and pneumonia due to technological advancements in medicine …
the recent COVID-19 and pneumonia due to technological advancements in medicine …
Unveiling Hidden Patterns: Exploration of Data Dependencies in Disease Prediction
V Vadapalani - ieeexplore.ieee.org
In the current scenario, the possibility of getting affected by disease is high so it is important
to predict in advance. Due to technological advancement, it is for early prediction. Hence …
to predict in advance. Due to technological advancement, it is for early prediction. Hence …
Systematic Study Of Covid-19 And Cardiac Arrhythmic Disease
DLK Pallathadka… - Int. J. of Aquatic …, 2021 - journal-aquaticscience.com
Coronaviruses, an enveloped RNA virus family, can infect many animals, including humans.
Pathogenicity of human coronaviruses SARS, MERS, and SARS-CoV2 are among the most …
Pathogenicity of human coronaviruses SARS, MERS, and SARS-CoV2 are among the most …