چکیده مقاله
This study aims to diagnose COVID 19 using CT images and deep learning algorithms First, we usewavelet transformation in combination with fuzzy logic to provide a new approach to removing the noiseof CT images Then we segmented lung images by the proposed combined global and local thresholdmethod In this way, lung regions from CT images can be segmented successfully In the next step,features and classification will be extracted AlexNet is used to extract features, while a Support VectorMachine SVM is used for classification With 99 8% accuracy, three classes of data are classified:COVID 19, Viral Pneumonia, and Normal In comparison with previous methods, the proposed methodshows superior classification performance
کلیدواژهها
نویسندگان
Atefeh Tanzadehpanah
Computer Engineering, Islamic Azad University, Mashhad Branch, Mashhad, Iran
Parisa Nourbakhsh Sabet
Computer Engineering, University of Guilan, Guilan, Iran
شیوه ارجاع
Tanzadehpanah, Atefeh and Nourbakhsh Sabet, Parisa,1401,A novel Hybrid Machine learning approach (CNN-SVM) for COVID- 19 diagnosis in CT images,18th Computer Science and Engineering Conference and Information Technology,Babol
ارائهشده در
مجموعه مقالات هجدهمین کنفرانس ملی علوم و مهندسی کامپیوتر و فناوری اطلاعات4 اسفند 1401 · بابل