Lingmei Ai, Kangzhen Shi. Low-Grade Gliomas MR Image Segmentation Based on Conditional Generative Adversarial Networks[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221004
- Laser & Optoelectronics Progress
- Vol. 57, Issue 22, 221004 (2020)
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
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Table 1. Results of the four trained models on the testset
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