SCOV-CNN: A Simple CNN Architecture for COVID-19 Identification Based on the CT Images
Since the coronavirus was first discovered in Wuhan, it has widely spread and was finally declared a global pandemic by the WHO. Image processing plays an essential role in examining the lungs of affected patients. Computed Tomography (CT) and X-ray images have been popularly used to examine the lun...
الحاوية / القاعدة: | International Journal on Informatics Visualization |
---|---|
المؤلف الرئيسي: | Haryanto T.; Suhartanto H.; Murni A.; Kusmardi; Yusoff M.; Zain J.M. |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Politeknik Negeri Padang
2024
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189621991&doi=10.62527%2fjoiv.8.1.1750&partnerID=40&md5=9f24940e5ba20a43de47bb1ded4dae2d |
مواد مشابهة
-
DenseHillNet: a lightweight CNN for accurate classification of natural images
بواسطة: 2-s2.0-85194107878
منشور في: (2024) -
Mass Detection in Digital Mammogram Image using Convolutional Neural Network (CNN)
بواسطة: 2-s2.0-85116191968
منشور في: (2021) -
A Hybrid FEM-CNN for Image-Based Severity Prediction of Corroded Offshore Pipelines
بواسطة: Fadzil N.M.; Muda M.F.; Shahid M.D.A.; Aziz N.; Mohd M.H.; Mohd Amin N.; Mohd Hashim M.H.
منشور في: (2025) -
Emotion Recognition Using Convolutional Neural Network (CNN)
بواسطة: 2-s2.0-85111988755
منشور في: (2021) -
Evaluation of CNN, alexnet and GoogleNet for fruit recognition
بواسطة: 2-s2.0-85051792349
منشور في: (2018)