Review of AI applications in Healthcare: Comparative insights from the USA and Africa
AO Babarinde, O Ayo-Farai, CP Maduka… - International Medical …, 2023 - fepbl.com
Abstract The integration of Artificial Intelligence (AI) into healthcare systems has emerged as
a transformative force, revolutionizing patient care, diagnostics, and treatment strategies …
a transformative force, revolutionizing patient care, diagnostics, and treatment strategies …
Target Recognition Using Pre-Trained Convolutional Neural Networks and Transfer Learning
In modern surveillance, automatic target recognition (ATR) is a critical challenge,
necessitating rapid and precise object identification, especially in military and disaster …
necessitating rapid and precise object identification, especially in military and disaster …
An Improved Convolutional Neural Network-Based Detection Framework for COVID-19 Omicron and Delta Variants Employing CT Scans
The COVID-19 Omicron and Delta variants are the most prevalent sources of lethality. The
computed tomography (CT) scan images may be used mostly to make an appropriate …
computed tomography (CT) scan images may be used mostly to make an appropriate …
Lung Cancer Diagnosis Using X-Ray and CT Scan Images Based on Machine Learning Approaches
S Kumar, H Kumar - … on Computing, Communications, and Cyber-Security, 2022 - Springer
Lung cancer is one of the biggest threats to mankind. The number of patients who died from
lung cancer is too large compared to the total number of cancer diagnoses. Lung cancer is …
lung cancer is too large compared to the total number of cancer diagnoses. Lung cancer is …
Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays
Tuberculosis, generally referred to as TB is a bacterial disease that affects the lungs and is
one of the leading causes of death on a worldwide scale. TB is a bacterial illness that is …
one of the leading causes of death on a worldwide scale. TB is a bacterial illness that is …
X-Ray Image Classification of Covid-19 Using Transfer Learning with Vgg16 and Vgg19
S Kumar, H Kumar - Available at SSRN 4359652, 2023 - papers.ssrn.com
COVID-19 is a contagious disease that continues to be a scourge in the developing world.
Chest radiology has also been proven useful for detecting abnormalities in patients' lungs …
Chest radiology has also been proven useful for detecting abnormalities in patients' lungs …
Incorporation of the Self-attention
The study focuses on the increasing complexity of automated target recognition (ATR) in
surveillance and reconnaissance. It highlights the need for quick and accurate identification …
surveillance and reconnaissance. It highlights the need for quick and accurate identification …
Incorporation of the Self-attention Mechanism into Convolutional Neural Networks for the Target Recognition
The study focuses on the increasing complexity of automated target recognition (ATR) in
surveillance and reconnaissance. It highlights the need for quick and accurate identification …
surveillance and reconnaissance. It highlights the need for quick and accurate identification …
and Mild Cognitive Impairment: Leveraging Advanced Preprocessing
Alzheimer's disease (AD) and moderate cognitive impairment (MCI) are neurodegenerative
disorders that cause significant impairment in brain function. This study examines the …
disorders that cause significant impairment in brain function. This study examines the …
Enhanced Detection of Alzheimer's and Mild Cognitive Impairment: Leveraging Advanced Preprocessing and Convolutional Neural Networks
Alzheimer's disease (AD) and moderate cognitive impairment (MCI) are neurodegenerative
disorders that cause significant impairment in brain function. This study examines the …
disorders that cause significant impairment in brain function. This study examines the …