Transfer Learning and Feature Extraction of Chest X-ray Images for Deep Convolutional Neural Network (CNN)- based Pneumonia Detection
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10353069/10353233/10353421.pdf?arnumber=10353421
Reference20 articles.
1. CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays
2. Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures
3. Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures
4. A Convolutional Neural Network ensemble model for Pneumonia Detection using chest X-ray images
5. Detection and classification of pneumonia using novel Superior Exponential (SupEx) activation function in convolutional neural networks
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1. Automated Pneumonia Detection from Chest X-Rays Using Convolutional Neural Networks: Advancements, Optimization, and Performance Analysis;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
2. Utilizing Random Forest to Diagnose Pneumonia in Children;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03
3. Prediction of Lung Diseases Using Deep Learning Models;Algorithms for Intelligent Systems;2024
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