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CeLR: Una red de regresión basada en Transformer para la detección precisa de puntos de referencia cefalométricos en
IEEE transactions on medical imaging
|January 12, 2026
Resumen
Una nueva red basada en Transformer, Cephalometric Landmark Regression (CeLR), localiza con precisión puntos de referencia en imágenes de rayos X para análisis ortodóntico. Este método eficiente logra resultados de vanguardia con un menor costo computacional.
Sus antecedentes:
- Accurate cephalometric landmark localization is crucial for automated orthodontic analysis.
- Current methods face challenges with high computational demands and complex pipelines, limiting end-to-end optimization.
Conclusiones:
- The proposed CeLR network offers a highly effective and efficient solution for cephalometric landmark regression.
- CeLR presents significant clinical potential for automated orthodontic analysis.
- The Transformer-based approach enables end-to-end optimization, overcoming limitations of existing methods.
