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March 3, 2026
Open Access
Clinically aligned whole-body MRI segmentation of skeletal metastases via Supervised Anatomical Pretraining
JW
Joris Wuts
JC
Jakub Ceranka
NM
Nicolas Michoux
Cliniques Universitaires Saint-Luc
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Key Points
Segmentation accuracy for skeletal metastases significantly improved with supervised anatomical pretraining.
Achieving an enhanced detection rate, the method reports an accuracy increase of 25% over conventional techniques.
Utilizing a novel whole-body MRI approach, this observational analysis aligns clinical imaging with anatomical structures.
May enhance diagnostic efficiency, yet requires further external validation for generalizability beyond preliminary results.
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Wuts et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75cf5c6e9836116a2645c
https://doi.org/https://doi.org/10.1016/j.jbo.2026.100745
Clinically aligned whole-body MRI segmentation of skeletal metastases via Supervised Anatomical Pretraining | Synapse