Targeted T2-FLAIR dropout during training preserves glioblastoma segmentation performance with full MRI protocols and raises overall median DSC from 81.0% to 93.4% when T2-FLAIR is absent in external validation on 403 cases.
Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model
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Robust Glioblastoma Segmentation and Volumetry Without T2-FLAIR: External Validation of Targeted Dropout Training
Targeted T2-FLAIR dropout during training preserves glioblastoma segmentation performance with full MRI protocols and raises overall median DSC from 81.0% to 93.4% when T2-FLAIR is absent in external validation on 403 cases.