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Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty
Multi-phase liver contrast-enhanced computed tomography (CECT) images convey the complementary multi-phase information for liver tumor segmentation (LiTS), which are crucial to assist the diagnosis of liver cancer clinically.
When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation
Learning to segmentation without large-scale samples is an inherent capability of human.
TNTC: two-stream network with transformer-based complementarity for gait-based emotion recognition
A new transformer-based complementarity module (TCM) is proposed to bridge the complementarity between two streams hierarchically via capturing long range dependencies.
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