Federated knowledge-guided 3D Transformer learning for bone tumor segmentation from partially annotated computed tomography data
Accurate 3D delineation of bone tumors and metastatic lesions from volumetric CT is essential for diagnosis, staging, radiotherapy planning, and treatment monitoring, yet manual contouring is time consuming and variable across observers. Although modern 3D CNN/Transformer segmenters achieve strong centralized performan...
Yongan Liu, Tao Yu, Dan Su et al.
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