A Systematic Literature Review of Convolutional Neural Network Architecture for Lung Disease Detection
YY Sugandi, I Soesanti… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Lung disease is a severe threat to the respiratory system and can be fatal if not treated
immediately. Common examples include Pneumonia, Covid-19, Lung Cancer, and …
immediately. Common examples include Pneumonia, Covid-19, Lung Cancer, and …
A novel hybrid heuristic adopted ensemble of deep learning models for COVID-19 detection framework using CT and X-Ray images
C Mary Shiba, M Navaneethakrishnan… - Computer Methods in …, 2023 - Taylor & Francis
ABSTRACT In 2019, Corona Virus Disease (COVID)-19 has created an important impact on
people's health and economy because of its rapid spreading. Therefore, the earlier detection …
people's health and economy because of its rapid spreading. Therefore, the earlier detection …
Generic Foreign Object Detection in Chest X-rays
KC Santosh, S Roy, S Allu - International Conference on Recent Trends in …, 2021 - Springer
In an automated Chest X-Ray (CXR) screening process, foreign objects such as coins,
buttons, medical tubes, and devices and jewelry can adversely influence the performance of …
buttons, medical tubes, and devices and jewelry can adversely influence the performance of …
Comparative study of Deep Learning Models for Binary Classification on Combined Pulmonary Chest X-ray Dataset
CNN-based deep learning models for disease detection have become popular recently. We
compared the binary classification performance of eight prominent deep learning models …
compared the binary classification performance of eight prominent deep learning models …
Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray
R Pradhan, KC Santosh - International Conference on Recent Trends in …, 2023 - Springer
In recent years, the utilization of graph-based deep learning has gained prominence, yet its
potential in the realm of medical diagnosis remains relatively unexplored. The challenge …
potential in the realm of medical diagnosis remains relatively unexplored. The challenge …
Deep Learning Based Tuberculosis and Pneumonia Disease Detection Using CNN
Tuberculosis and pneumonia are debilitating respiratory diseases that pose significant
health challenges around the world. For these disorders to be treated and controlled …
health challenges around the world. For these disorders to be treated and controlled …
A Metaverse-based approach to rehabilitation healthcare
V Vivekitha, SC Vinnetia, RS Roshini - Metaverse Applications for …, 2024 - igi-global.com
Rehabilitative healthcare is focused on restoring physical and cognitive abilities in
individuals following injuries or diseases and has largely relied on traditional methods such …
individuals following injuries or diseases and has largely relied on traditional methods such …
Threats and challenges by DeepFake technology
M Sareen - DeepFakes, 2022 - taylorfrancis.com
One of the contributions of AI is the emergence of DeepFake (DF) technology. It has seen a
spectacular rise in recent years, and it continues to grow in this meteoric fashion. With its …
spectacular rise in recent years, and it continues to grow in this meteoric fashion. With its …
Improving Early Detection of Lung Disorders: A Multi-head Self-Attention CNN-BiLSTM Model
V Indumathi, R Siva - Journal of The Institution of Engineers (India): Series …, 2024 - Springer
Respiratory system diseases are a leading cause of increased mortality, morbidity, and
disability rates globally. Lung disorders occur due to constant exposure of the lungs to …
disability rates globally. Lung disorders occur due to constant exposure of the lungs to …
Machine Learning for X-ray and CT-based COVID-19 Diagnosis
M Tang, S Chen, S Wang… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The rapid diagnosis of COVID-19 has become a pressing issue due to the strain the
outbreak has placed on the healthcare system. This article aims to investigate the rapid and …
outbreak has placed on the healthcare system. This article aims to investigate the rapid and …