A Multi-level Deep Neural Network to Diagnose Coronavirus Disease with Imbalanced Data
Iman Zabbah,
Kamran Layeghi,
Reza Ebrahimpour
Abstract:One of the main challenges of medical data mining is the classification of imbalanced datasets. Often the data which are used for training classification is of no proper distribution. It occurs when a class has few samples in nature inclining the learner model to the major class. This imbalance is quite obvious in the data X-ray image of coronavirous, due to its newness, so the samples of healthy and pneumonia are more than COVID- 19 ones. Here we proposed a multi-level model that improves diagnosis of the dis… Show more
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