AI-Augmented 3D Craniofacial Reconstruction for Enhanced Surgical Planning: A Novel Integration of Depth-Augmented Vision Transformers and MeshCNN for Structural Fidelity

Craniosynostosis, a craniofacial malformation characterized by premature suture fusion, poses significant challenges for surgical correction. Current methods for cranial reconstruction lack the precision required for accurate defect inpainting and depth awareness, limiting their clinical application...

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Veröffentlicht in:	Egyptian informatics journal Jg. 32; S. 100810
Hauptverfasser:	Vishal, Kukreja, Vinay, Ahuja, Vandana, Mehta, Shiva, Dogra, Ayush, Tejani, Ghanshyam G., Mousavirad, Seyed Jalaleddin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025
Schlagworte:	3D U-net segmentation AI-augmented pre-surgical planning Craniosynostosis reconstruction Depth-Augmented Vision Transformers AI-augmented pre-surgical planning Craniosynostosis reconstruction 3D U-net segmentation Depth-Augmented Vision Transformers
ISSN:	1110-8665
Online-Zugang:	Volltext
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