SellaMorph-Net: A Novel Machine Learning Approach for Precise Segmentation of Sella Turcica Complex Structures in Full Lateral Cephalometric Images

Background: The Sella Turcica is a critical structure from an orthodontic perspective, and its morphological characteristics can help in understanding craniofacial deformities. However, accurately extracting Sella Turcica shapes can be challenging due to the indistinct edges and indefinite boundarie...

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Detalhes bibliográficos

Principais autores:	Kaushlesh Singh Shakya, Manojkumar Jaiswal, Julie Porteous, Priti K, Vinay Kumar, Azadeh Alavi, Amit Laddi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-08-01
Colecção:	Applied Sciences
Assuntos:	Sella Turcica lateral cephalogram morphological types Sella segmentation SellaMorph-Net
Acesso em linha:	https://www.mdpi.com/2076-3417/13/16/9114
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