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Intra-oral scan segmentation using deep learning.
Vinayahalingam, Shankeeth; Kempers, Steven; Schoep, Julian; Hsu, Tzu-Ming Harry; Moin, David Anssari; van Ginneken, Bram; Flügge, Tabea; Hanisch, Marcel; Xi, Tong.
Affiliation
  • Vinayahalingam S; Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands.
  • Kempers S; Department of Artificial Intelligence, Radboud University, Nijmegen, the Netherlands.
  • Schoep J; Department of Oral and Maxillofacial Surgery, Universitätsklinikum Münster, Münster, Germany.
  • Hsu TH; Department of Oral and Maxillofacial Surgery, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands.
  • Moin DA; Department of Artificial Intelligence, Radboud University, Nijmegen, the Netherlands.
  • van Ginneken B; Promaton Co. Ltd, 1076 GR, Amsterdam, The Netherlands.
  • Flügge T; MIT Computer Science & Artificial Intelligence Laboratory, 32 Vassar St, Cambridge, MA, 02139, USA.
  • Hanisch M; Promaton Co. Ltd, 1076 GR, Amsterdam, The Netherlands.
  • Xi T; Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands.
BMC Oral Health ; 23(1): 643, 2023 09 05.
Article in En | MEDLINE | ID: mdl-37670290
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Full text: 1 Database: MEDLINE Main subject: Deep Learning Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: BMC Oral Health Journal subject: ODONTOLOGIA Year: 2023 Type: Article Affiliation country: Netherlands
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Add to My VHL
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Full text: 1 Database: MEDLINE Main subject: Deep Learning Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: BMC Oral Health Journal subject: ODONTOLOGIA Year: 2023 Type: Article Affiliation country: Netherlands