DLLNet: An Attention-Based Deep Learning Method for Dental Landmark Localization on High-Resolution 3D Digital Dental Models.

Lang, Yankun; Deng, Hannah H; Xiao, Deqiang; Lian, Chunfeng; Kuang, Tianshu; Gateno, Jaime; Yap, Pew-Thian; Xia, James J

Lang, Yankun; Deng, Hannah H; Xiao, Deqiang; Lian, Chunfeng; Kuang, Tianshu; Gateno, Jaime; Yap, Pew-Thian; Xia, James J.

Afiliação

Lang Y; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Deng HH; Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX, USA.
Xiao D; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Lian C; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Kuang T; Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX, USA.
Gateno J; Department of Oral and Maxillofacial Surgery, Houston Methodist Hospital, Houston, TX, USA.
Yap PT; Department of Surgery (Oral and Maxillofacial Surgery), Weill Medical College, Cornell University, NY, USA.
Xia JJ; Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Med Image Comput Comput Assist Interv ; 12904: 478-487, 2021.

Article em En | MEDLINE | ID: mdl-34927177

Palavras-chave

3D dental surface; Geometric deep learning; Landmark localization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Med Image Comput Comput Assist Interv Ano de publicação: 2021 Tipo de documento: Article

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