Automated Detection of Multi Class Lung Diseases Using Deep Learning with the Help of X-ray Chest Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-7041-2_21
Reference18 articles.
1. Radha D (2021) Analysis of COVID-19 and pneumonia detection in chest X-ray images using deep learning. In: 2021 International Conference on Communication, Control and Information Sciences (ICCISc. pp 1–6. https://doi.org/10.1109/ICCISc52257.2021.9484888
2. Youssef TA, Aissam B, Khalid D, Imane B, Miloud JE (2020) Classification of chest pneumonia from x-ray images using new architecture based on ResNet. In: 2020 IEEE 2nd international conference on electronics, control, optimization and computer science (ICECOCS). pp 1–5. https://doi.org/10.1109/ICECOCS50124.2020.9314567
3. Deepika N, Vinupritha P, Kathirvelu D (2018) Classification of lobar pneumonia by two different classifiers in lung CT images. Int Confr on Commun Signal Proc (ICCSP) 2018:0552–0556. https://doi.org/10.1109/ICCSP.2018.8524384
4. Irfan A, Adivishnu AL, Sze-To A, Dehkharghanian T, Rahnamayan S, Tizhoosh HR (2020) Classifying pneumonia among chest X-rays using transfer learning. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). pp 2186–2189. https://doi.org/10.1109/EMBC44109.2020.9175594
5. Panwar A, Dagar A, Pal V, Kumar V (2021) COVID 19, Pneumonia and other disease classification using chest X-ray images. In: 2021 2nd International Conference for Emerging Technology (INCET). pp 1–4. https://doi.org/10.1109/INCET51464.2021.9456192
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