Design of a Neural Network and Machine Learning 
based CT Prediction System for Neocoronary Pneumonia

Fengyi Lu

doi:10.70711/frim.v3i3.6185

Design of a Neural Network and Machine Learning based CT Prediction System for Neocoronary Pneumonia

Fengyi Lu

Abstract

Image classification technology based on machine learning and neural network is a key technology in medical treatment, and at
present, it only relies on the doctors to check the lung images of the patients one by one based on their own theories and experiences, which
can easily lead to the mistakes of the doctors judgment. The accuracy of the traditional pneumonia detection method can only meet some
clinical needs, and it requires high theoretical knowledge and practical experience of healthcare personnel, and this method also makes the
classification of pneumonia images by healthcare personnel less efficient. As artificial intelligence technology is more and more widely used
in the field of medicine, it has a powerful data analysis capability and can automatically generate personalized treatment plans based on patient information, so the intelligent assistance system has an important role in the development of hospitals.

Keywords

Machine learning; Convolutional neural network; Lung CT images

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References

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DOI: http://dx.doi.org/10.70711/frim.v3i3.6185

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