Pneumonia Identification and Classification Using CNN Model Based on Chest X-Ray Image in Healthcare
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5015-7_40
Reference20 articles.
1. Rajasenbagam T, Jeyanthi S, Pandian JA (2021) Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques. J Amb Intell Human Comput 2016. https://doi.org/10.1007/s12652-021-03075-2
2. Elshennawy NM, Ibrahim DM (2020) Deep-pneumonia framework using deep learning models based on chest X-Ray images. Diagnostics 10(9):1–16. https://doi.org/10.3390/diagnostics10090649
3. Stephen O, Sain M, Maduh UJ, Jeong DU (2019) An efficient deep learning approach to pneumonia classification in healthcare. J Healthc Eng 2019. https://doi.org/10.1155/2019/4180949
4. Han Y, Chen C, Tewfik A, Ding Y, Peng Y (2021) Pneumonia detection on chest X-ray using radiomic features and contrastive learning. Proc Int Symp Biomed Imag 3:247–251. https://doi.org/10.1109/ISBI48211.2021.9433853
5. Alharbi AH, Hosni Mahmoud HA (2022) Pneumonia transfer learning deep learning model from segmented X-rays. Healthcare 10(6):987. https://doi.org/10.3390/healthcare10060987
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