Author: Saban Ozturk; Umut Ozkaya; Mucahid Barstugan
Title: Classification of Coronavirus Images using Shrunken Features Document date: 2020_4_6
ID: 2l1zw19o_64
Snippet: Early diagnosis and control of infectious diseases such as COVID-19 are vital for public health. Therefore, automated pre-diagnosis systems are needed to help diagnose the disease quickly and accurately. In this study, we developed a machine learning-based system that can analyze both X-ray and CT images. These days when the access to the Corona data is very limited, experiments are carried out with a dataset with very little data and inter-class.....
Document: Early diagnosis and control of infectious diseases such as COVID-19 are vital for public health. Therefore, automated pre-diagnosis systems are needed to help diagnose the disease quickly and accurately. In this study, we developed a machine learning-based system that can analyze both X-ray and CT images. These days when the access to the Corona data is very limited, experiments are carried out with a dataset with very little data and inter-class imbalance. Due to the limitations of the dataset, hand-crafted methods are preferred over deep learning-based methods.
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