A longitudinal context-aware segmentation framework for clinician-verified lesion tracking in CT scans that won the MICCAI autoPET IV challenge, with synthetic pretraining shown essential and a new PanTrack benchmark released.
In: International Conference on Medical Image Computing and Computer-Assisted Intervention
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Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking
A longitudinal context-aware segmentation framework for clinician-verified lesion tracking in CT scans that won the MICCAI autoPET IV challenge, with synthetic pretraining shown essential and a new PanTrack benchmark released.