COVID-19 CT ground-glass opacity segmentation based on attention mechanism threshold

Yunbo Rao, Qingsong Lv, Shaoning Zeng, Yuling Yi, Cheng Huang, Yun Gao, Zhanglin Cheng, Jihong Sun

Abstract: Highlights•An attention mechanism threshold segmentation named ACL for COVID-19 Ground-Glass Segmentation of CT image is proposed.•ACL has excellent GGO segmentation capabilities, which is lighter than deep learning models.•ACL can deal with CT images with low contrast.•ACL have the ability to segment GGO in other CT images of pneumonia also.