DDARes-U2Net: a dual-decoder adversarial residual U2Net algorithm for segmentation of COVID-19 pneumonia lesions
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Purpose: We aim to overcome the remaining bottlenecks in COVID-19 lesion segmentation from chest CT-namely, blurred lesion boundaries, false-positive responses from vessels or trachea, and the extreme variability of lesion shape,... ...
