Combination of the Features of Pre-trained Xception and VGG16 Models to Identify Childhood Pneumonia from Chest X-Ray Images

Author:

Prodhan Md. Monjurul Ahsan1,Yousuf Mohammad Abu2

Affiliation:

1. Bangladesh University of Professionals,Dept. of Information and Communication Technology,Dhaka,Bangladesh,1216

2. Institute of Information Technology, Jahangirnagar University,Savar, Dhaka,Bangladesh,1342

Publisher

IEEE

Reference20 articles.

1. Scikit-learn: Machine learning in python;pedregosa;The Journal of Machine Learning Research,2011

2. When Machine Learning Meets Privacy

3. Diagnosis of Pneumonia from Chest X-Ray Images Using Deep Learning

4. A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

5. Labeled optical coherence tomography (oct) and chest x-ray images for classification;kermany;Mendeley Data,2018

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. LM-DNN: pre-trained DNN with LSTM and cross Fold validation for detecting viral pneumonia from chest CT;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization;2023-11-22

2. A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest X-ray images;Biocybernetics and Biomedical Engineering;2023-10

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