Preparing for downstream tasks in artificial intelligence for dental radiology: a baseline performance comparison of deep learning models.

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Bibliographic Details
Title: Preparing for downstream tasks in artificial intelligence for dental radiology: a baseline performance comparison of deep learning models.
Authors: Fernandes FA; Department of Information and Communication Technology, University of Agder (UiA), 4879 Grimstad, Norway.; Faculty European Campus Rottal-Inn, Deggendorf Institute of Technology (DIT), 84347 Pfarrkirchen, Germany., Ge M; Faculty European Campus Rottal-Inn, Deggendorf Institute of Technology (DIT), 84347 Pfarrkirchen, Germany., Chaltikyan G; Faculty European Campus Rottal-Inn, Deggendorf Institute of Technology (DIT), 84347 Pfarrkirchen, Germany., Gerdes MW; Department of Information and Communication Technology, University of Agder (UiA), 4879 Grimstad, Norway., Omlin CW; Department of Information and Communication Technology, University of Agder (UiA), 4879 Grimstad, Norway.
Source: Dento maxillo facial radiology [Dentomaxillofac Radiol] 2025 Feb 01; Vol. 54 (2), pp. 149-162.
Publication Type: Journal Article; Comparative Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 7609576 Publication Model: Print Cited Medium: Internet ISSN: 1476-542X (Electronic) Linking ISSN: 0250832X NLM ISO Abbreviation: Dentomaxillofac Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-542X
DOI:10.1093/dmfr/twae056