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.
Mfcnet: A multi-modal fusion and calibration networks for 3d pancreas tumor segmentation on pet-ct images.Comput- ers in Biology and Medicine, 155:106657, 2023
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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.