A Deep Learning based model for the Detection of Pneumonia from Chest X-Ray Images using VGG-16 and Neural Networks
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Abstract
Pneumonia is a viral infection which affects a significant proportion of individuals, especially in developing and penurious countries where contamination, overcrowded, and unsanitary living conditions are widespread, along with the lack of healthcare infrastructures. Pneumonia produces pericardial effusion, a disease wherein fluids fill the chest and create inhaling problems. It is a difficult step to recognize the presence of pneumonia quickly in order to receive treatment services and improve survival chances. Deep learning, is a field of artificial intelligence which is used in the successful development of prediction models. There are various ways of detecting pneumonia such as CT-scan, pulse oximetry,…
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Topics
Keywords
- Deep learning
- Artificial intelligence
- Pneumonia
- Computer science
- Support vector machine
- Viral pneumonia
- Machine learning
- Medicine
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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