Classification of cervical vertebral morphology using deep learning

Noriyuki Kitai; Tomoya Kitano; Manabu Murabayashi; Wakako Tome; Yukihiro Iida; Akitoshi Katsumata

doi:10.47416/apjod.25-0004

January 1, 2025Asian Pacific Journal of DentistryOpen Access

Classification of cervical vertebral morphology using deep learning

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Key Points

Determine whether cervical vertebral morphology can be automatically classified using a deep-learning system.
Utilized a deep-learning architecture to analyze and classify morphological features of cervical vertebrae.

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Implication

Feasibility study evaluates automated cervical vertebral morphology classification using deep learning, indicating potential for streamlined radiographic assessment.

Abstract

Purpose: This study investigated whether or not cervical vertebral morphology could be automatically classified using a deep-learning system.

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Kitai et al. (2025) studied this question.

synapsesocial.com/papers/6a80ff13ba5888e95f4d67c6 https://doi.org/10.47416/apjod.25-0004

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Classification of cervical vertebral morphology using deep learning

Key Points

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Implication

Abstract

Discussion

Cite This Study

Classification of cervical vertebral morphology using deep learning

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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