基于nnU-Net的乳腺DCE-MR图像中乳房和腺体自动分割
霍璐1,2,胡晓欣3,肖勤3,顾雅佳3,褚旭1,4,姜娈1,*(
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Automatic Segmentation of Breast and Fibroglandular Tissues in DCE-MR Images Based on nnU-Net
Lu HUO1,2,Xiao-xin HU3,Qin XIAO3,Ya-jia GU3,Xu CHU1,4,Luan JIANG1,*()
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图6. 不同图像参数组别的乳腺DCE-MR图像分割结果示例.上、下两行分别为组1的代表性样本和组2的代表性样本.从左至右，分别为原始图像、乳房分割的金标准、乳房分割结果、腺体（FGT）分割的金标准和腺体分割结果
Fig.6. Segmentation examples of two groups with different breast DCE-MR imaging parameters. The top and bottom lines are Group 1 and Group 2. From left to right: the original image, the ground truth of whole breast, the segmentation mask of whole breast, the ground truth of FGT, and the segmentation mask of FGT
