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COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net [article]

Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka
2020 arXiv   pre-print

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https://web.archive.org/web/20200812113055/https://arxiv.org/pdf/2007.12303v3.pdf

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2020 pre-print
arXiv:2007.12303v1 fatcat:kuvkc6hr7nhiplpliryx5bsgly
2020 pre-print
arXiv:2007.12303v2 fatcat:okbshipcavdc5hmdg2cfzayc64
In this work we propose a segmentation framework to detect chest regions in CT images, which are infected by COVID-19.  ...  map for COVID-19 pixels. 2D-anisotropic total-variation is used for this purpose, and therefore the proposed model is called "TV-UNet".  ...  ACKNOWLEDGMENT The authors would like to thank our radiologist, Doctor Ghazaleh Soufi, for her advice on the important signals in chest CT images for detecting COVID-19.  ... 
arXiv:2007.12303v3 fatcat:5324ft3qhjbndhqhxmlviptnnm
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Citation

Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka. "COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net." arXiv (2020)