ANNHRPAA Based Deep Learning Image Processing for Pneumonia Detection
Pneumonia is a syndrome that is cause by a bacterial disease in the lungs. This disease is diagnosed through a chest X-ray. For triumphant treatment early diagnosis is important. This disease can be diagnosed through X-ray imagery. Sometimes due to the unclear chest X-ray image, it can be confused w...
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| Autores principales: | , |
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| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2022
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| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/83592 |
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| Sumario: | Pneumonia is a syndrome that is cause by a bacterial disease in the lungs. This disease is diagnosed through a chest X-ray. For triumphant treatment early diagnosis is important. This disease can be diagnosed through X-ray imagery. Sometimes due to the unclear chest X-ray image, it can be confused with the other bacterial disease. Consequently, to guide clinicians requires computer-aided diagnosis system. In this, a amalgam reverse transmission algorithms introduced by which erudition of multi-layer network achieved. The clamor investigation of the system is performed by using artificial neural network (ANN). Convolution neural network model vgg19 employed to create a user-friendly webpage for diagnosing this disease. Simulated artificial neural network hybrid reverse propagation adaptive algorithm used for deep learning image processing method in our training stage. The test results showed for the vgg19 network is at an accurateness of 0.91. |
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| ISBN: | 978-1-83768-029-0 |
| DOI: | 10.5772/intechopen.106640 |