A decoupled dual-source learning framework trains parallel models on independent expert annotations for PET-CT bone infection segmentation and uses patient-level 3D evaluation to report performance variations.
Fdg-pet/ct in infections: the imaging method of choice?European Jour- nal of Nuclear Medicine and Molecular Imaging, 37(10): 1986–1991, 2010
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Cross-Source Supervision for Bone Infection Segmentation in Dual-Modality PET-CT
A decoupled dual-source learning framework trains parallel models on independent expert annotations for PET-CT bone infection segmentation and uses patient-level 3D evaluation to report performance variations.