Data-centric AI solutions and emerging technologies in the healthcare ecosystem
The book offers insight into the healthcare system by exploring emerging technologies and
AI-based applications and implementation strategies. It includes current developments for …
AI-based applications and implementation strategies. It includes current developments for …
[HTML][HTML] A deep learning architecture for multi-class lung diseases classification using chest X-ray (CXR) images
In 2019, the world experienced the rapid outbreak of the Covid-19 pandemic creating an
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
alarming situation worldwide. The virus targets the respiratory system causing pneumonia …
A deep learning review of resnet architecture for lung disease Identification in CXR Image
The lungs are two of the most crucial organs in the human body because they are connected
to the respiratory and circulatory systems. Lung cancer, COVID-19, pneumonia, and other …
to the respiratory and circulatory systems. Lung cancer, COVID-19, pneumonia, and other …
Diagnosis and multi-classification of lung diseases in CXR images using optimized deep convolutional neural network
A deep learning (DL) architecture is proposed in this study for the multi-class classification of
COVID-19, lung opacity, lung cancer, tuberculosis (TB), and pneumonia. There are two …
COVID-19, lung opacity, lung cancer, tuberculosis (TB), and pneumonia. There are two …
HRDEL: High ranking deep ensemble learning-based lung cancer diagnosis model
Among all the diseases in human beings, lung cancer is known as the most hazardous
disease that often leads to death rather than other cancer ailments. Lung cancer is …
disease that often leads to death rather than other cancer ailments. Lung cancer is …
TOPSIS aided ensemble of CNN models for screening COVID-19 in chest X-ray images
Abstract The novel coronavirus (COVID-19), has undoubtedly imprinted our lives with its
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
deadly impact. Early testing with isolation of the individual is the best possible way to curb …
CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays
The rapid outbreak of COVID-19 has affected the lives and livelihoods of a large part of the
society. Hence, to confine the rapid spread of this virus, early detection of COVID-19 is …
society. Hence, to confine the rapid spread of this virus, early detection of COVID-19 is …
The effectiveness of deep learning vs. traditional methods for lung disease diagnosis using chest X-ray images: A systematic review
Recently, deep learning has proven to be a successful technique especially in medical
image analysis. This paper aims to highlight the importance of deep learning architectures in …
image analysis. This paper aims to highlight the importance of deep learning architectures in …
Early detection and classification of malignant lung nodules from CT images: An optimal ensemble learning
P Sengodan, K Srinivasan, R Pichamuthu… - Expert Systems with …, 2023 - Elsevier
Malignant pulmonary nodules must be identified promptly to improve the life chances of lung
disorder patients. Lung cancer is the most severe type of cancer, and early detection directly …
disorder patients. Lung cancer is the most severe type of cancer, and early detection directly …
RETRACTED ARTICLE: Performance evaluation of deep learning techniques for lung cancer prediction
Due to the increase in pollution, the number of deaths caused by lung disease is rising
rapidly. It is essential to predict the disease in earlier stages by means of high-level …
rapidly. It is essential to predict the disease in earlier stages by means of high-level …