Deep Learning for Pneumonia Diagnosis Using CXR Images
Author:
Affiliation:
1. Riphah International University,Department of Computing,Pakistan
2. Prince Sultan University,AIDA Lab CCIS,Riyadh,Saudi Arabia
Funder
Riphah International University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10145215/10145097/10145372.pdf?arnumber=10145372
Reference42 articles.
1. An Automated Deep Learning Approach to Diagnose Glaucoma using Retinal Fundus Images
2. Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19
3. A Deep Learning-based Automatic Method for Early Detection of the Glaucoma using Fundus Images
4. Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
5. A Majority Voting based Ensemble Approach of Deep Learning Classifiers for Automated Melanoma Detection
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1. Visual Vigilance on a Smart Approach to Melanoma Prediction via Image Mastery;Advances in Computational Intelligence and Robotics;2024-08-30
2. An Automated Hybrid Glaucoma Detection Framework through Retinal Images;2023 International Conference on IT and Industrial Technologies (ICIT);2023-10-09
3. Computer-Aided System for Pneumothorax Detection through Chest X-ray Images using Convolutional Neural Network;2023 International Conference on IT and Industrial Technologies (ICIT);2023-10-09
4. Melanoma Classification Through Deep Learning Using Dermoscopic Images;2023 International Conference on IT and Industrial Technologies (ICIT);2023-10-09
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