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

Autor: Jagtap R; Division of Oral & Maxillofacial Radiology, Department of Care Planning & Restorative Sciences, School of Dentistry, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA., Samata Y; Department of Oral Medicine and Radiology, SIBAR Institute of Dental Sciences, Guntur 522509, Andhra Pradesh, India., Parekh A; Department of Biomedical Materials Science, School of Dentistry, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA., Tretto P; Department of Oral Surgery, Regional Integrated University of Alto Uruguai and Missions, Erechim 99709-910, Brazil., Roach MD; Department of Biomedical Materials Science, School of Dentistry, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216, USA., Sethumanjusha S; Department of Oral Medicine and Radiology, SIBAR Institute of Dental Sciences, Guntur 522509, Andhra Pradesh, India., Tejaswi C; Department of Oral Medicine and Radiology, SIBAR Institute of Dental Sciences, Guntur 522509, Andhra Pradesh, India., Jaju P; Department of Oral Medicine and Radiology, Rishiraj College of Dental Sciences & Research Centre, Bhopal 462036, Madhya Pradesh, India., Friedel A; VELMENI Inc., 333 W Maude Ave, Sunnyvale, CA 94085, USA., Briner Garrido M; Department of Oral Pathology, Radiology and Medicine, Kansas City School of Dentistry, University of Missouri, 650 East 25th Street, Kansas City, MO 64108, USA., Feinberg M; VELMENI Inc., 333 W Maude Ave, Sunnyvale, CA 94085, USA., Suri M; VELMENI Inc., 333 W Maude Ave, Sunnyvale, CA 94085, USA.

Publikováno v: Bioengineering (Basel, Switzerland) [Bioengineering (Basel)] 2024 Oct 05; Vol. 11 (10). Date of Electronic Publication: 2024 Oct 05.