A comprehensive review on artificial intelligence-driven preprocessing, segmentation, and classification techniques for precision furcation analysis in radiographic images
Author:
Funder
ICMR
Ministry of Education, India
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-19920-3.pdf
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3. Hermanson BP, Burgdorf GC, Hatton JF, Speegle DM, Woodmansey KF (2018) Visual Fixation and Scan Patterns of Dentists Viewing Dental Periapical Radiographs: An Eye Tracking Pilot Study. J Endod 44:722–727. https://doi.org/10.1016/j.joen.2017.12.021
4. Silva G, Oliveira L, Pithon M (2018) Automatic segmenting teeth in X-ray images: Trends, a novel data set, benchmarking and future perspectives. Expert Syst Appl 107:15–31. https://doi.org/10.1016/j.eswa.2018.04.001
5. Vijayalakshmi D, Sandhya Kumari T (2015) A New Technique for Edge Improved Salt and Pepper Noise Removal. Int J Eng Res. https://doi.org/10.17577/ijertv4is070215
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