Detecting Pneumonia for COVID 19 Patients using Multi-Image Fusion for CT Images

A CT scan of the chest is used to find problems such as infection, lung cancer, blockage, pneumonia, and COVID-19. In this work, a CT scan is used to classify the stages of lung infection as normal, mild, moderate, and severe. Computed tomography (CT) is one of the imaging techniques for the diagnosis of lung infections. Fast and accurate screening is possible using computed tomography (CT) scan images. Automated diagnosis of severity level of lung infection from the CT scan pictures can be used by doctors as a quick and efficient method for treating patients to save their lives. In the proposed system, a convolutional neural network is used to classify the stages of lung infection and obtain accurate results.

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Detecting Pneumonia for COVID 19 Patients using Multi-Image Fusion for CT Images

Cited by 2 publications

References 7 publications

Classification of Chest CT Images for COVID-19 Detection Using an Ensemble of Twin CNNs with Decision Fusion

Classification of Chest CT Images for COVID-19 Detection Using an Ensemble of Twin CNNs with Decision Fusion

Lung Infection Severity Assessment using Deep Learning Algorithm

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