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An automatic congenital radio-ulnar synostosis deformity evaluation method (CRUS-DE): integrating TLT-SAM and GPMM-R for landmark identification | Synapse
March 3, 2026
Open Access
An automatic congenital radio-ulnar synostosis deformity evaluation method (CRUS-DE): integrating TLT-SAM and GPMM-R for landmark identification
LL
L Liu
YC
Ying Cui
TZ
Tianfeng Zhou
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Puntos clave
Congenital deformity evaluation is streamlined using an automatic method, enhancing diagnostic precision.
The evaluation method integrates TLT-SAM and GPMM-R for accurate landmark identification.
Advanced algorithms efficiently identify deformities in radiographic images, facilitating quicker assessments.
The automatic approach may reduce human error in diagnosing congenital deformities, highlighting its potential benefits.
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Liu et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c3ec6e9836116a24eca
https://doi.org/https://doi.org/10.1038/s41598-026-36638-4