基于nnU-Net的乳腺DCE-MR图像中乳房和腺体自动分割
霍璐,胡晓欣,肖勤,顾雅佳,褚旭,姜娈

Automatic Segmentation of Breast and Fibroglandular Tissues in DCE-MR Images Based on nnU-Net
Lu HUO,Xiao-xin HU,Qin XIAO,Ya-jia GU,Xu CHU,Luan JIANG
表4 交叉验证中的分割性能评价(以DSC为例)
Table 4 Performance metrics for segmentation during cross validation (taking DSC as an example)
乳房分割腺体分割
验证集Fold 10.970±0.0490.941±0.061
Fold 20.982±0.0140.945±0.046
Fold 30.971±0.0440.942±0.047
Fold 40.982±0.0160.946±0.052
Fold 50.975±0.0120.942±0.031
平均值±标准差0.976±0.0270.944±0.047
测试集0.969±0.0070.893±0.054