Fig. 1. Overall framework of segmentation LGG

Fig. 2. Structure of CGAN. (a) Generator network; (b) discriminator network

Fig. 3. U-Net model of segmentation LGG

Fig. 4. MR images and segmentation mask of LGG. (a) Pre-contrast; (b) FLAIR; (c) post-contrast; (d) segmentation mask

Fig. 5. LGG images generated by CGAN. (a) Pre-contrast; (b) FLAIR; (c) post-contrast; (d) segmentation mask

Fig. 6. Training process on different datasets. (a) Dataset1 and dataset2; (b) dataset3 and dataset4

Fig. 7. Segmentation results of different methods. (a) Dataset1; (b) dataset2; (c) dataset3; (d) dataset4