Your browser doesn't support javascript.
loading
Deep learning-based segmentation of dental implants on cone-beam computed tomography images: A validation study.
Elgarba, Bahaaeldeen M; Van Aelst, Stijn; Swaity, Abdullah; Morgan, Nermin; Shujaat, Sohaib; Jacobs, Reinhilde.
Afiliación
  • Elgarba BM; OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Belgium, 3000 Leuven, Belgium; Department of Prosthodontics, Faculty of Dentistry, Tanta University, 31511 Tanta, Egypt.
  • Van Aelst S; OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Belgium, 3000 Leuven, Belgium.
  • Swaity A; OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Belgium, 3000 Leuven, Belgium; Prosthodontic Department, King Hussein Medical Center, Royal Medical Services, Amman, Jordan
  • Morgan N; OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Belgium, 3000 Leuven, Belgium; Department of Oral Medicine, Faculty of Dentistry, Mansoura University, Mansoura, Egypt.
  • Shujaat S; OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Belgium, 3000 Leuven, Belgium; King Abdullah International Medical Research Center, Department of Maxillofacial Surgery and
  • Jacobs R; OMFS-IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, KU Leuven & Department of Oral and Maxillofacial Surgery, University Hospitals Leuven, Belgium, 3000 Leuven, Belgium; Department of Dental Medicine, Karolinska Institute, Stockholm, Sweden. Electronic address:
J Dent ; 137: 104639, 2023 10.
Article en En | MEDLINE | ID: mdl-37517787

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diente / Implantes Dentales / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Dent Año: 2023 Tipo del documento: Article País de afiliación: Egipto

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diente / Implantes Dentales / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Dent Año: 2023 Tipo del documento: Article País de afiliación: Egipto
...