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eess.IV2022
Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos +3
In this paper, we investigate the transferability limitations when using deep learning models, for semantic segmentation of pneumonia-infected areas in CT images. The proposed appr…
eess.IV2022★ 1 cited
Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos +3
Recent studies indicate that detecting radiographic patterns on CT scans can yield high sensitivity and specificity for Covid-19 localization. In this paper, we investigate the app…