Automated detection of airflow obstructive diseases: a systematic review of the last decade (2013-2022)
Abstract Background and Objective Obstructive airway diseases, including asthma and
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
Chronic Obstructive Pulmonary Disease (COPD), are two of the most common chronic …
Enhanced Heart Disease Prediction Based on Machine Learning and χ2 Statistical Optimal Feature Selection Model
Automatic heart disease prediction is a major global health concern. Effective cardiac
treatment requires an accurate heart disease prognosis. Therefore, this paper proposes a …
treatment requires an accurate heart disease prognosis. Therefore, this paper proposes a …
Mayfly optimization with deep learning enabled retinal fundus image classification model
Retinal fundus images are widely employed to screen for various eye diseases, giving them
significant clinical importance. Investigation of medical images has been considerably …
significant clinical importance. Investigation of medical images has been considerably …
[PDF][PDF] Enhanced accuracy for heart disease prediction using artificial neural network
Making an accurate and timely diagnosis of cardiac disease is critical for preventing and
treating heart failure. The accuracy of results produced by traditional machine learning (ML) …
treating heart failure. The accuracy of results produced by traditional machine learning (ML) …
Frequency constraint-based adversarial attack on deep neural networks for medical image classification
F Chen, J Wang, H Liu, W Kong, Z Zhao, L Ma… - Computers in Biology …, 2023 - Elsevier
The security of AI systems has gained significant attention in recent years, particularly in the
medical diagnosis field. To develop a secure medical image classification system based on …
medical diagnosis field. To develop a secure medical image classification system based on …
GCHA-Net: Global context and hybrid attention network for automatic liver segmentation
H Liu, Y Fu, S Zhang, J Liu, Y Wang, G Wang… - Computers in Biology …, 2023 - Elsevier
Liver segmentation is a critical step in liver cancer diagnosis and surgical planning. The U-
Net's architecture is one of the most efficient deep networks for medical image segmentation …
Net's architecture is one of the most efficient deep networks for medical image segmentation …
[HTML][HTML] An evaluation of lightweight deep learning techniques in medical imaging for high precision COVID-19 diagnostics
Timely and rapid diagnoses are core to informing on optimum interventions that curb the
spread of COVID-19. The use of medical images such as chest X-rays and CTs has been …
spread of COVID-19. The use of medical images such as chest X-rays and CTs has been …
Lung cancer diagnosis based on weighted convolutional neural network using gene data expression
Lung cancer is thought to be a genetic disease with a variety of unknown origins.
Globocan2020 report tells in 2020 new cancer cases identified was 19.3 million and nearly …
Globocan2020 report tells in 2020 new cancer cases identified was 19.3 million and nearly …
DKPNet41: Directed knight pattern network-based cough sound classification model for automatic disease diagnosis
Problem Cough-based disease detection is a hot research topic for machine learning, and
much research has been published on the automatic detection of Covid-19. However, these …
much research has been published on the automatic detection of Covid-19. However, these …
Comprehensive analysis of energy efficient secure routing protocol over sensor network
To make hierarchical wireless sensor network transmission more secure, node life longer,
and network operation efficiency higher, a WSN shared vital management scheme based on …
and network operation efficiency higher, a WSN shared vital management scheme based on …