Deep learning-based automated multiclass classification of chest X-rays into Covid-19, normal, bacterial pneumonia and viral pneumonia
Author:
Affiliation:
1. School of Biomedical Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, India
Funder
research
Publisher
Informa UK Limited
Subject
General Engineering,General Chemical Engineering,General Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2022.2105559
Reference26 articles.
1. Deep Transfer Learning for COVID-19 Prediction: Case Study for Limited Data Problems
2. COVID-19 detection in X-ray images using convolutional neural networks
3. Human-in-the-Loop Enhanced COVID-19 Detection in Transfer Learning-Based CNN Models
4. Opportunities and obstacles for deep learning in biology and medicine
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1. Automated Diagnosis of Covid-19 and Pneumonia Using Transfer Learning and Custom Segmentation on Chest X-Ray Images;WSEAS TRANSACTIONS ON COMPUTER RESEARCH;2024-06-25
2. A novel multi class disease detection of chest x-ray images using deep learning with pre trained transfer learning models for medical imaging applications;2024-02-14
3. A comprehensive segmentation of chest X-ray improves deep learning–based WHO radiologically confirmed pneumonia diagnosis in children;European Radiology;2023-11-06
4. CX-Net: Multi-scale Enhanced Fusion Network for Pneumonia Classification;2023 IEEE 3rd International Conference on Computer Systems (ICCS);2023-09-22
5. SCNN: A Explainable Swish-based CNN and Mobile App for COVID-19 Diagnosis;Mobile Networks and Applications;2023-07-11
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