Lung Disease Classification Using Deep Learning Models from Chest X-ray Images
Author:
Affiliation:
1. Jahangirnagar University,Dept. of Statistics,Dhaka,Bangladesh
2. Virtual Multidisciplinary Research Lab,Dhaka,Bangladesh
3. Daffodil International University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10075680/10075657/10075968.pdf?arnumber=10075968
Reference36 articles.
1. COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data
2. Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks
3. Comparison of deep learning approaches to predict COVID-19 infection
4. A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2
5. DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays
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. Detection and Analysis of Tuberculosis Disease from Chest X-Ray (CXR) Images using Machine Learning and Deep Learning Techniques;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01
2. A Deep Learning Approach for the Classification of Tuberculosis and Pneumonia Using NIH Dataset *;2023 International Symposium on Networks, Computers and Communications (ISNCC);2023-10-23
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