Published March 30, 2023 | Version v2
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18: CT Scans for COVID-19 Classification

Description

Goal of this model is to identify, if a patient is suffering from COVID-19 or not, based on his / her chest CT. Original images were collected by the authors of this paper. The original images were collected from: http://ictcf.biocuckoo.cn/. Available classes are
  • non-informative CT (NiCT) images where lung parenchyma was not captured for any judgment
  • negative CT (nCT) images where imaging features in both lungs were irrelevant to COVID-19 pneumonia
  • positive CT (pCT) images where imaging features associated with COVID-19 pneumonia could be unambiguously discerned
The model was trained using this script; a summary of its performance can be found here.

Files

3952d8_metrics-python.json

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Additional details

Related works

Is part of
10.5281/zenodo.7740029 (DOI)