Classifying chest x-rays for COVID-19 through transfer learning: a systematic review
This study makes a comprehensive assessment of the predominant Transfer Learning (TL)
techniques employed for the classification of COVID-19 cases in Chest X-rays (CXR) …
techniques employed for the classification of COVID-19 cases in Chest X-rays (CXR) …
An integrated convolutional neural network with attention guidance for improved performance of medical image classification
Today, it becomes essential to develop computer vision algorithms that are both highly
effective and cost-effective for supporting physicians' decisions. Convolutional Neural …
effective and cost-effective for supporting physicians' decisions. Convolutional Neural …
Deep learning based classification of COVID-19 severity using hierarchical deep maxout model
COVID-19 is a huge pandemic disease and is gradually growing into our daily lives. It has
affected us all in different ways, which the World Health Organization classified as a …
affected us all in different ways, which the World Health Organization classified as a …
Designing an improved deep learning-based model for COVID-19 recognition in chest X-ray images: a knowledge distillation approach
AR BabaAhmadi, S Khalafi, M ShariatPanahi… - Iran Journal of Computer …, 2024 - Springer
The COVID-19 pandemic has had a significant impact on society, necessitating accurate
identification and suitable medical treatment. This study addresses two primary objectives …
identification and suitable medical treatment. This study addresses two primary objectives …
Conditional cascaded network (CCN) approach for diagnosis of COVID-19 in chest X-ray and CT images using transfer learning
AEE Rashed, WM Bahgat - Biomedical Signal Processing and Control, 2024 - Elsevier
The COVID-19 pandemic has caused substantial global health and economic damage, with
over five million confirmed cases worldwide. The importance of the rapid, accurate diagnosis …
over five million confirmed cases worldwide. The importance of the rapid, accurate diagnosis …
Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier
Purpose Cancer is caused when abnormal cells grow severely, go beyond their normal
regions to invade adjoining parts of the body, and spread to other organs. It can start in any …
regions to invade adjoining parts of the body, and spread to other organs. It can start in any …
Utilizing Transfer Learning and Class-Selective Image Processing for COVID-19 Detection
N Tabassum, F Parvin - 2023 26th International Conference on …, 2023 - ieeexplore.ieee.org
The year 2019 marked the emergence of a novel contagious illness named COVID-19 which
was brought about by the SARS-CoV-2 virus. This newly identified virus swiftly spread …
was brought about by the SARS-CoV-2 virus. This newly identified virus swiftly spread …
Deep Learning-based Covid and Pneumonia Classification
Internal images of the body may be captured using X-ray technology, which helps doctors
diagnose and treat a wide range of medical issues. Recent studies have focused on …
diagnose and treat a wide range of medical issues. Recent studies have focused on …
Predictive Modeling of Covid-19 Severity through Computer-Aided Analysis of X-Ray Imagery
S Chaudhary, R Panwar, B Kumar… - … on Trends in …, 2024 - ieeexplore.ieee.org
In recent years, we have globally impacted with the COVID-19 which was very uncommon
and highly contagious and dangerous respiratory illness, demanding early detection for …
and highly contagious and dangerous respiratory illness, demanding early detection for …
[PDF][PDF] Enhanced detection of COVID-19 in chest X-ray images: A comparative analysis of CNNs and the DL+ ensemble technique
BHN Jereni, I Sundire - Inf. Dyn. Appl, 2023 - library.acadlore.com
The swift global spread of Corona Virus Disease 2019 (COVID-19), identified merely four
months prior, necessitates rapid and precise diagnostic methods. Currently, the diagnosis …
months prior, necessitates rapid and precise diagnostic methods. Currently, the diagnosis …