Abstract
Pneumonia is a lung infection that fills your air sacs with fluid or pus. Pneumonia can range from mild to life threatening. Countries like Morocco are very concerned since this disease kills several hundreds of children every day. So, being able to diagnose pneumonia can greatly benefit both health care and patients. This work proposes a new Convolutional Neural Network architecture model based on ResNet50 with the help of transfer learning. Using this model on the x-ray dataset of paitents made a phenomenal performance of 94.3% testing accuracy.
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Krishnaraj, N., Vidhya, R., Vigneshwar, M., Gayathri, K., Haseena Begam, K., Kavi Sindhuja, R.M. (2022). Pneumonia Prediction on X-Ray Images Using CNN with Transfer Learning. In: Chen, J.IZ., Tavares, J.M.R.S., Shi, F. (eds) Third International Conference on Image Processing and Capsule Networks. ICIPCN 2022. Lecture Notes in Networks and Systems, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-031-12413-6_64
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DOI: https://doi.org/10.1007/978-3-031-12413-6_64
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