most citedD2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2021★ 6 cited

D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism

Xiangyu Zhao, Peng Zhang, Fan Song +6

Coronavirus Disease 2019 (COVID-19) has caused great casualties and becomes almost the most urgent public health events worldwide. Computed tomography (CT) is a significant screeni…