Your browser doesn't support javascript.
loading
Detection of Periodontal Bone Loss on Periapical Radiographs-A Diagnostic Study Using Different Convolutional Neural Networks.
Hoss, Patrick; Meyer, Ole; Wölfle, Uta Christine; Wülk, Annika; Meusburger, Theresa; Meier, Leon; Hickel, Reinhard; Gruhn, Volker; Hesenius, Marc; Kühnisch, Jan; Dujic, Helena.
Affiliation
  • Hoss P; Department of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
  • Meyer O; Institute for Software Engineering, University of Duisburg-Essen, 45127 Essen, Germany.
  • Wölfle UC; Department of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
  • Wülk A; Department of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
  • Meusburger T; Department of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
  • Meier L; Department of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
  • Hickel R; Department of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
  • Gruhn V; Institute for Software Engineering, University of Duisburg-Essen, 45127 Essen, Germany.
  • Hesenius M; Institute for Software Engineering, University of Duisburg-Essen, 45127 Essen, Germany.
  • Kühnisch J; Department of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
  • Dujic H; Department of Conservative Dentistry and Periodontology, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
J Clin Med ; 12(22)2023 Nov 20.
Article in En | MEDLINE | ID: mdl-38002799
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Clin Med Year: 2023 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Clin Med Year: 2023 Document type: Article