Lateral Cephalometric Landmark Annotation Using Histogram Oriented Gradients Extracted from Region of Interest Patches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Otorhinolaryngology,Oral Surgery,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s12663-023-02025-z.pdf
Reference23 articles.
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2. Juneja M, Garg P, Kaur R, Manocha P, Prateek Batra S et al (2021) A review on cephalometric landmark detection techniques. Biomed Signal Process Control 66:102486
3. Bichu YM, Hansa I, Bichu AY, Premjani P, Flores-Mir C, Vaid NR (2021) Applications of artificial intelligence and machine learning in orthodontics: a scoping review. Prog Orthod 22(1):18. https://doi.org/10.1186/s40510-021-00361-9
4. Wang CW, Huang CT, Hsieh MC, Li CH, Chang SW, Li WC et al (2015) Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge. IEEE Trans Med Imag 34(9):1890–1900
5. Wang CW, Huang CT, Lee JH, Li CH, Chang SW, Siao MJ et al (2016) A benchmark for comparison of dental radiography analysis algorithms. Med Image Anal 31:63–76
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