Smart access development for classifying lung disease with chest x-ray images using deep learning

P Abirami, KM Darshan, SPA Kirubha, S Latha… - Materials Today …, 2021 - Elsevier
P Abirami, KM Darshan, SPA Kirubha, S Latha, P Muthu
Materials Today: Proceedings, 2021Elsevier
Recently the world has come across a pandemic disease known as covid-19. The presence
of symptoms of covid-19 and pneumonia may be alike to other types of lung illnesses. So,
because of this, it is difficult for the affected person or medical experts to identify the
condition. Chest x-ray provides general orientation which can be an initial investigative
study in the analysis of lung diseases. Information from retenogram studies help the finding
of covid-19 and pneumonia affecting the lungs. We use a Convolution Neural Network …
Abstract
Recently the world has come across a pandemic disease known as covid-19. The presence of symptoms of covid-19 and pneumonia may be alike to other types of lung illnesses. So, because of this, it is difficult for the affected person or medical experts to identify the condition. Chest x-ray provides general orientation which can be an initial investigative study in the analysis of lung diseases. Information from retenogram studies help the finding of covid-19 and pneumonia affecting the lungs. We use a Convolution Neural Network (CNN) in Tensor Flow and Keras based covid-19, pneumonia classification. The best fit model of CNN is then deployed in the Django framework for providing a better user interface and predicting the output.
Elsevier
以上显示的是最相近的搜索结果。 查看全部搜索结果