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Hyperspectral imaging and artificial intelligence to detect oral malignancy - part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network.
Thiem, Daniel G E; Römer, Paul; Gielisch, Matthias; Al-Nawas, Bilal; Schlüter, Martin; Plaß, Bastian; Kämmerer, Peer W.
Afiliação
  • Thiem DGE; Department of Oral and Maxillofacial Surgery, Facial Plastic Surgery, University Medical Centre Mainz, Augustusplatz 2, 55131, Mainz, Germany. daniel.thiem@uni-mainz.de.
  • Römer P; Department of Oral and Maxillofacial Surgery, Facial Plastic Surgery, University Medical Centre Mainz, Augustusplatz 2, 55131, Mainz, Germany.
  • Gielisch M; Department of Oral and Maxillofacial Surgery, Facial Plastic Surgery, University Medical Centre Mainz, Augustusplatz 2, 55131, Mainz, Germany.
  • Al-Nawas B; International Scholar and Adjunct Associate Professor, Department of Oral and Maxillofacial Surgery, School of Dentistry, Kyung Hee University, Seoul, South Korea.
  • Schlüter M; School of Technology - Geoinformatics and Surveying, Institute for Spatial Information and Surveying Technology, University of Mainz - University of Applied Science, Mainz, Germany.
  • Plaß B; School of Technology - Geoinformatics and Surveying, Institute for Spatial Information and Surveying Technology, University of Mainz - University of Applied Science, Mainz, Germany.
  • Kämmerer PW; Department of Oral and Maxillofacial Surgery, Facial Plastic Surgery, University Medical Centre Mainz, Augustusplatz 2, 55131, Mainz, Germany.
Head Face Med ; 17(1): 38, 2021 Sep 03.
Article em En | MEDLINE | ID: mdl-34479595

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Bucais / Aprendizado Profundo Tipo de estudo: Screening_studies Limite: Humans Idioma: En Revista: Head Face Med Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Bucais / Aprendizado Profundo Tipo de estudo: Screening_studies Limite: Humans Idioma: En Revista: Head Face Med Ano de publicação: 2021 Tipo de documento: Article