Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans (Pattern Analysis and Applications, (2021), 24, 3, (951-964), 10.1007/s10044-020-00950-0)

Tallha Akram; Muhammad Attique; Salma Gul; Aamir Shahzad; Muhammad Altaf; S. Syed Rameez Naqvi; Robertas Damaševičius; Rytis Maskeliūnas

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Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans (Pattern Analysis and Applications, (2021), 24, 3, (951-964), 10.1007/s10044-020-00950-0)

Pattern Analysis and Applications

DOI: 10.1007/s10044-021-00969-x

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Abstract

In the original publication of the article, the affiliation of “Salma Gul” was published with an error. The affiliation was written as “Department of Radiology, Wah Medical College, POF Hospital, Wah Cantt, Rawalpindi, Punjab, Pakistan”. The correct affiliation is “Department of Radiology, Shifa International Hospital, Islamabad, Pakistan”. The original article has been updated.

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Akram, T., Attique, M., Gul, S., Shahzad, A., Altaf, M., Naqvi, S. S. R., … Maskeliūnas, R. (2021, August 1). Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans (Pattern Analysis and Applications, (2021), 24, 3, (951-964), 10.1007/s10044-020-00950-0). Pattern Analysis and Applications. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/s10044-021-00969-x

Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans (Pattern Analysis and Applications, (2021), 24, 3, (951-964), 10.1007/s10044-020-00950-0)

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