The importance of standardisation - COVID-19 CT & Radiograph Image Data Stock for deep learning purpose.

ABSTRACT: With the number of affected individuals still growing world-wide, the research on COVID-19 is continuously expanding. The deep learning community concentrates their efforts on exploring if neural networks can potentially support the diagnosis using CT and radiograph images of patients' lungs. The two most popular publicly available datasets for COVID-19 classification are COVID-CT and COVID-19 Image Data Collection. In this work, we propose a new dataset which we call COVID-19 CT & Radiograph Image Data Stock. It contains both CT and radiograph samples of COVID-19 lung findings and combines them with additional data to ensure a sufficient number of diverse COVID-19-negative samples. Moreover, it is supplemented with a carefully defined split. The aim of COVID-19 CT & Radiograph Image Data

SUBMITTER: Misztal K 

PROVIDER: S-EPMC7591316 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature