Region-of-interest aware 3d resnet for classification of covid-19 chest computerised tomography scans

HIGHLIGHTS

• who: SHUOHAN XUE and colleagues from the Department of Electronic and Electrical Engineering, The University of Sheffield, Sheffield , JD, United Kingdom have published the article: Region-of-Interest Aware 3D ResNet for Classification of COVID-19 Chest Computerised Tomography Scans, in the Journal: (JOURNAL)
• what: The authors propose a single-stage 3D approach that does not require slice-wise labels. The authors demonstrate the work by considering the 3D ResNet models as the 3D CNN. To address the latter, the study proposes a tailor-made pre-processing technique instead of using external segmentation resources. For . . .
  

   

  

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