Hydravit: Adaptive multi-branch transformer for multi-label disease classification from chest X-ray images
Chest X-ray is an essential diagnostic tool in the identification of chest diseases given its
high sensitivity to pathological abnormalities in the lungs. However, image-driven diagnosis …
high sensitivity to pathological abnormalities in the lungs. However, image-driven diagnosis …
Machine learning and deep learning algorithms in detecting COVID-19 utilizing medical images: a comprehensive review
The public's health is seriously at risk from the coronavirus pandemic. Millions of people
have already died as a result of this devastating illness, which affects countless people daily …
have already died as a result of this devastating illness, which affects countless people daily …
Attention induced multi-head convolutional neural network organization with MobileNetv1 transfer learning and COVID-19 diagnosis using jellyfish search …
Abstract In this research, Attention Induced Multi-head Convolutional Neural Network
Organization using MobileNetv1 Transfer Learning and COVID-19 Diagnosis using Jellyfish …
Organization using MobileNetv1 Transfer Learning and COVID-19 Diagnosis using Jellyfish …
Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach
Abstract Pine Wilt Disease (PWD) is a devastating disease that affects forest ecosystems
and has no known cure. Early detection is essential for suppressing infections of PWD …
and has no known cure. Early detection is essential for suppressing infections of PWD …
Impact of Artificial Intelligence on the Global Economy and Technology Advancements
The profound impact of Artificial Intelligence (AI) on the global economy spans a diverse
spectrum of consequences, with Cognitive Computing emerging as a catalyst for significant …
spectrum of consequences, with Cognitive Computing emerging as a catalyst for significant …
LungXpertAI: A deep multi-task learning model for chest CT scan analysis and COVID-19 detection
S Kordnoori, M Sabeti, H Mostafaei… - … Signal Processing and …, 2025 - Elsevier
Addressing the urgent need for accurate COVID-19 identification and lung infection
segmentation in CT scans, our study introduces LungXpertAI, a novel Multi-Task Learning …
segmentation in CT scans, our study introduces LungXpertAI, a novel Multi-Task Learning …
Distribution-based detection of radiographic changes in pneumonia patterns: A COVID-19 case study
Although the classification of chest radiographs has long been an extensively researched
topic, interest increased significantly with the onset of the COVID-19 pandemic. Existing …
topic, interest increased significantly with the onset of the COVID-19 pandemic. Existing …
Land-Cover Classification Using Deep Learning with High-Resolution Remote-Sensing Imagery
Land-area classification (LAC) research offers a promising avenue to address the intricacies
of urban planning, agricultural zoning, and environmental monitoring, with a specific focus …
of urban planning, agricultural zoning, and environmental monitoring, with a specific focus …
[PDF][PDF] Detection and classification of pneumonia using the Orange3 data mining tool
A chest X-ray can convey a lot about a patient's condition. However, it requires a specialized
and skilled doctor to determine the type of lung disease with high accuracy. Here comes the …
and skilled doctor to determine the type of lung disease with high accuracy. Here comes the …
Integrating Data Augmentation with AdaBoost for Effective COVID-19 Pneumonia Classification
In the COVID-19 pandemic, the urgent need for precise pneumonia diagnosis has prompted
this research to propose a customized AdaBoost algorithm tailored for classifying COVID-19 …
this research to propose a customized AdaBoost algorithm tailored for classifying COVID-19 …