UA-Net segments TRISO fuel micrographs into five regions with 95.5% mIoU and 97.3% mP on 102 test images, while its meta-model detects misclassifications at 91.8% specificity and 93.5% sensitivity.
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UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
UA-Net segments TRISO fuel micrographs into five regions with 95.5% mIoU and 97.3% mP on 102 test images, while its meta-model detects misclassifications at 91.8% specificity and 93.5% sensitivity.