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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Vydané v:	Egyptian informatics journal Ročník 32; s. 100810
Hlavní autori:	Vishal, Kukreja, Vinay, Ahuja, Vandana, Mehta, Shiva, Dogra, Ayush, Tejani, Ghanshyam G., Mousavirad, Seyed Jalaleddin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2025
Predmet:	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
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