Automatic Feature Segmentation in Dental Periapical Radiographs.

Autor: Ari T; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, 26040 Eskişehir, Turkey., Sağlam H; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, 26040 Eskişehir, Turkey., Öksüzoğlu H; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, 26040 Eskişehir, Turkey., Kazan O; Health Services Vocational School, Gazi University, 06560 Ankara, Turkey., Bayrakdar İŞ; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Eskisehir Osmangazi University, 26040 Eskişehir, Turkey.; Eskisehir Osmangazi University Center of Research and Application for Computer-Aided Diagnosis and Treatment in Health, 26040 Eskişehir, Turkey.; Division of Oral and Maxillofacial Radiology, Department of Care Planning and Restorative Sciences, University of Mississippi Medical Center School of Dentistry, Jackson, MS 39216, USA., Duman SB; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Inonu University, 44000 Malatya, Turkey., Çelik Ö; Eskisehir Osmangazi University Center of Research and Application for Computer-Aided Diagnosis and Treatment in Health, 26040 Eskişehir, Turkey.; Department of Mathematics-Computer, Faculty of Science, Eskisehir Osmangazi University, 26040 Eskisehir, Turkey., Jagtap R; Division of Oral and Maxillofacial Radiology, Department of Care Planning and Restorative Sciences, University of Mississippi Medical Center School of Dentistry, Jackson, MS 39216, USA., Futyma-Gąbka K; Department of Dental and Maxillofacial Radiodiagnostics, Medical University of Lublin, 20-059 Lublin, Poland., Różyło-Kalinowska I; Department of Dental and Maxillofacial Radiodiagnostics, Medical University of Lublin, 20-059 Lublin, Poland., Orhan K; Department of Dental and Maxillofacial Radiodiagnostics, Medical University of Lublin, 20-059 Lublin, Poland.; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ankara University, 0600 Ankara, Turkey.; Ankara University Medical Design Application and Research Center (MEDITAM), 0600 Ankara, Turkey.

Publikováno v: Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2022 Dec 07; Vol. 12 (12). Date of Electronic Publication: 2022 Dec 07.

Clinical Validation of Deep Learning for Segmentation of Multiple Dental Features in Periapical Radiographs.

Autor: Jagtap, Rohan¹ (AUTHOR) drrohanjagtap@gmail.com, Samata, Yalamanchili² (AUTHOR), Parekh, Amisha³ (AUTHOR), Tretto, Pedro⁴ (AUTHOR), Roach, Michael D.³ (AUTHOR), Sethumanjusha, Saranu² (AUTHOR), Tejaswi, Chennupati² (AUTHOR), Jaju, Prashant⁵ (AUTHOR), Friedel, Alan⁶ (AUTHOR), Briner Garrido, Michelle⁷ (AUTHOR), Feinberg, Maxine⁶ (AUTHOR), Suri, Mini⁶ (AUTHOR)

Publikováno v: Bioengineering (Basel). Oct2024, Vol. 11 Issue 10, p1001. 12p.

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Deep Learning in Diagnosis of Dental Anomalies and Diseases: A Systematic Review.

Autor: Sivari, Esra¹ (AUTHOR), Senirkentli, Guler Burcu² (AUTHOR), Bostanci, Erkan³ (AUTHOR), Guzel, Mehmet Serdar³ (AUTHOR), Acici, Koray⁴ (AUTHOR), Asuroglu, Tunc⁵ (AUTHOR) tunc.asuroglu@tuni.fi

Publikováno v: Diagnostics (2075-4418). Aug2023, Vol. 13 Issue 15, p2512. 28p.