Research Article
Automatic Prediction of MGMT Status in Glioblastoma via Deep Learning-Based MR Image Analysis
Table 1
Dataset distribution of each experiment.
| | Phase | Cases (methylation/unmethylation) | CE-T1WI slices (methylation/unmethylation) | FLAIR slices (methylation/unmethylation) |
| | FLAIR | Training | 51 (25/26) | 676 (288/388) | — | | Testing | 15 (7/8) | 167 (62/105) | | CE-T1WI | Training | 70 (36/34) | — | 1208 (609/599) | | Testing | 17 (10/7) | 220 (109/111) |
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Note: FLAIR: fluid-attenuated inversion recovery; CE-T1WI; contrast-enhanced T1-weighted imaging.
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