Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
S Asif, Y Wenhui, S ur-Rehman, Q ul-ain… - … Methods in Engineering, 2024 - Springer
Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …
A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
[HTML][HTML] Empowering covid-19 detection: Optimizing performance through fine-tuned efficientnet deep learning architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday
experiences of individuals across the planet. It is a highly contagious respiratory disease …
experiences of individuals across the planet. It is a highly contagious respiratory disease …
Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study
Abstract According to the World Health Organization, millions of infections and a lot of
deaths have been recorded worldwide since the emergence of the coronavirus disease …
deaths have been recorded worldwide since the emergence of the coronavirus disease …
Deep Learning and Federated Learning for Screening COVID-19: A Review
Since December 2019, a novel coronavirus disease (COVID-19) has infected millions of
individuals. This paper conducts a thorough study of the use of deep learning (DL) and …
individuals. This paper conducts a thorough study of the use of deep learning (DL) and …
COVID-19 Image Classification: A Comparative Performance Analysis of Hand-Crafted vs. Deep Features
S Alinsaif - Computation, 2024 - mdpi.com
This study investigates techniques for medical image classification, specifically focusing on
COVID-19 scans obtained through computer tomography (CT). Firstly, handcrafted methods …
COVID-19 scans obtained through computer tomography (CT). Firstly, handcrafted methods …
Detection of COVID-19 from a new dataset using MobileNetV2 and ResNet101V2 architectures
The aim of this study is to measure to what extent deep learning architectures are successful
in classification by using a new data set consisting of lung CT data collected from ill/healthy …
in classification by using a new data set consisting of lung CT data collected from ill/healthy …
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images
Chest disease refers to a variety of lung disorders, including lung cancer (LC), COVID-19,
pneumonia (PNEU), tuberculosis (TB), and numerous other respiratory disorders. The …
pneumonia (PNEU), tuberculosis (TB), and numerous other respiratory disorders. The …
COVID-19 Detection via Ultra-Low-Dose X-ray Images Enabled by Deep Learning
The detection of Coronavirus disease 2019 (COVID-19) is crucial for controlling the spread
of the virus. Current research utilizes X-ray imaging and artificial intelligence for COVID-19 …
of the virus. Current research utilizes X-ray imaging and artificial intelligence for COVID-19 …
A CNN transfer learning-based automated diagnosis of COVID-19 from lung computerized tomography scan slices
Lung abnormality is becoming the most widespread illness in individuals of the entire age
group. This ailment can occur because of several causes. Recently, the novel disease …
group. This ailment can occur because of several causes. Recently, the novel disease …