Pneumonia is a lung infection that is caused due to viruses, bacteria, and fungus. Pneumonia is a type of disease that can be cured if it was founded in its early stages. The website designed using this research acts as a virtual doctor and identifies the presence of pneumonia. This is done with the help of the Deep Learning (DL) method named the Convolutional Neural Network (CNN). A dataset consisting of both normal and pneumonia affected images is collected and it is used to train, test, and validate the DL model. The images are the X-ray images of the chest of the human being. Along with the model, a website is designed using HTML. This website provides the result of whether the image uploaded is pneumonia-affected or not using the DL model. The model is then trained again and again to achieve higher accuracy. The model is then integrated with the website and it acts as a virtual doctor. This website can reduce the risk of pneumonia to reach a critical stage.


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    Title :

    Creating virtual doctors by deploying the deep learning model for identifying pneumonia disease using chest-Xray



    Publication date :

    2022-06-03


    Remarks:

    doi:10.53730/ijhs.v6nS2.8354
    International journal of health sciences; Special Issue II; 12786-12796 ; 2550-696X ; 2550-6978 ; 10.53730/ijhs.v6nS2.2022



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629






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