Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica

Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica

In orthodontics, the manual tracing of cephalometric radiographs is a common practice, where the Sella Turcica (ST) serves as a reference point. The radiologist often manually traces the outline of the sella using manual tools (e.g., calipers on radiographs). Perhaps the inherent complexity and vari...

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Bibliographic Details
Main Authors: Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, Priti Khatri, Amit Laddi, Manojkumar Jaiswal, Vinay Kumar
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Applied Sciences
Subjects:
sella turcica
deep learning
semi supervised learning
manifold learning
medical images
classification
Online Access:https://www.mdpi.com/2076-3417/14/23/11154
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