چکیده مقاله
Due to the epidemic of COVID19 and the diagnosis of this disease based on CT scans, it is very important to accurately diagnose sick people with healthy people Therefore, the purpose of this paper is to build a model that can detect the health or infection of the lungs using CT scan of healthy people and people with the disease In this study, deep learning framework on Kaggle was used to diagnose lung health or infection using CT scans of healthy individuals and people with the disease COVID19 The data used were collected by referring to the official media, the general Python programming language version 3 7 is used to implement models The number of images of people with this disease is 349 and the number of images of lungs of healthy people is 397 The images used to teach this model are 299 x 299 x 3, with 425 images for training, 118 for validation, and 203 for network testing The network were retrained by lungs CT images After 15 rounds of training, the accuracy level was 0 94 The precision, recall, F1of this model are up to 0 9 that has the highest ones in comparison to other works
کلیدواژهها
نویسندگان
شیوه ارجاع
Langarizade, Mostafa and Sayadi, Mohammadjavad and Moghbeli, Fateme,1399,COVID-19 diagnosis model using lung CT-scans based on Deep Learning,5th International Conference on Health and Health Promotion
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی بهداشت،درمان و ارتقای سلامت20 اسفند 1399