Automatic machine learning-based classification of mandibular third molar impaction status-Reference-Cited by-同舟云学术

Automatic machine learning-based classification of mandibular third molar impaction status

Published:2023-07 Issue:4 Volume:35 Page:327-334
ISSN:2212-5558
Container-title:Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology
language:en
Short-container-title:Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology

Author:

Maruta Noboru,Morita Kei-ichi,Harazono Yosuke,Anzai Eri,Akaike Yu,Yamazaki Kotaro,Tonouchi Erina,Yoda Tetsuya

Publisher

Elsevier BV

Subject

Otorhinolaryngology,Oral Surgery,Pathology and Forensic Medicine,Surgery

Reference22 articles.

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2. Piezo-surgery technique and intramuscular dexamethasone injection to reduce postoperative pain after impacted mandibular third molar surgery: a randomized clinical trial;Nehme;BMC Oral Health,2021

3. Principles of exodontia as applied to the impacted mandibular third molar: a complete treatise on the operative technic with clinical diagnoses and radiographic interpretations;Winter,1926

4. Impacted mandibular third molars: classification and modified techniques for removal;Pell;Dent Dig,1933

5. The pattern of mandibular third molar impaction and assessment of surgery difficulty: a retrospective study of radiographs in east baltic population;Jaroń;Int J Environ Res Public Health,2021

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3. Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review;PeerJ;2024-07-19

4. A fully automated classification of third molar development stages using deep learning;Scientific Reports;2024-06-07

5. The diagnostic performance of impacted third molars in the mandible: A review of deep learning on panoramic radiographs;The Saudi Dental Journal;2023-11