Automatic covid-19 lung infection segmentation through modified unet model

HIGHLIGHTS

  • who: Sania Shamim and colleagues from the Department of Software Engineering, University of Management and Technology, Lahore, Pakistan School of Computing, UTM Big Data Centre, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia have published the research work: Automatic COVID-19 Lung Infection Segmentation through Modified Unet Model, in the Journal: Journal of Healthcare Engineering of 11/04/2022
  • what: This research work proposes a segmentation approach to identifying ground glass opacity or ROI in CT images developed by coronavirus with a modified structure of the Unet model having been used to classify the region of interest . . .

     

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