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

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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Bibliographic Details
Main Authors: Kaushlesh Singh Shakya, Manojkumar Jaiswal, Julie Porteous, Priti K, Vinay Kumar, Azadeh Alavi, Amit Laddi
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
Sella Turcica
lateral cephalogram
morphological types
Sella segmentation
SellaMorph-Net
Online Access:https://www.mdpi.com/2076-3417/13/16/9114

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