Titre : Arcade dentaire

Arcade dentaire : Questions médicales fréquentes

Termes MeSH sélectionnés :

Staining and Labeling

Questions fréquentes et termes MeSH associés

Général 1

#1

Erreur lors de la génération.

Veuillez réessayer ultérieurement.
Dental Arch
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Dr Olivier Menir

Contenu validé par Dr Olivier Menir

Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale


Validation scientifique effectuée le 25/04/2025

Contenu vérifié selon les dernières recommandations médicales

Auteurs principaux

Mohammed Nahidh

3 publications dans cette catégorie

Affiliations :
  • Department of Orthodontics, College of Dentistry, University of Baghdad, 10001 Baghdad, Iraq.
Publications dans "Arcade dentaire" :

Birgit Marré

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Publications dans "Arcade dentaire" :

Angelika Rauch

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthodontics and Materials Science, University of Leipzig, Leipzig, Germany.
Publications dans "Arcade dentaire" :

Torsten Mundt

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthodontics, Gerodontology and Biomaterials, Dental School, University of Greifswald, Greifswald, Germany.
Publications dans "Arcade dentaire" :

Wolfgang Hannak

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthodontics, Geriatic Dentistry and Craniomandibular Disorders, Center for Dental and Craniofacial Sciences, Charité - Universitätsmedizin Berlin CC3 - Charité, Berlin, Germany.
Publications dans "Arcade dentaire" :

Matthias Kern

3 publications dans cette catégorie

Affiliations :
  • School of Dentistry, Department of Prosthodontics, Propaedeutics and Dental Materials, Christian-Albrechts University, Kiel, Germany.
Publications dans "Arcade dentaire" :

Frank Nothdurft

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry and Dental Materials Science, Medical Center, Dental School and Clinics, Saarland University, Homburg, Germany.
Publications dans "Arcade dentaire" :

Sinsa Hartmann

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry, Johannes-Gutenberg University of Mainz, Mainz, Germany.
Publications dans "Arcade dentaire" :

Klaus Böning

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Publications dans "Arcade dentaire" :

Julian Boldt

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry, Julius-Maximilians University of Würzburg, Würzburg, Germany.
Publications dans "Arcade dentaire" :

Helmut Stark

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthodontics, Preclinical Education and dental Materials Science, University of Bonn, Bonn, Germany.
Publications dans "Arcade dentaire" :

Daniel Edelhoff

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry, University Hospital, LMU Ludwig-Maximilians-University, Munich, Germany.
Publications dans "Arcade dentaire" :

Bernd Wöstmann

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry, Justus-Liebig University of Gießen, Gießen, Germany.
Publications dans "Arcade dentaire" :

Stefan Wolfart

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthodontics and Biomaterials, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Publications dans "Arcade dentaire" :

Florentine Jahn

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry and Dental Material Science, Friedrich-Schiller University of Jena, Jena, Germany.
Publications dans "Arcade dentaire" :

Ralph Gunnar Luthardt

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthetic Dentistry, Center of Dentistry, Universitätsklinikum Ulm, Ulm, Germany.
Publications dans "Arcade dentaire" :

Toby Hughes

3 publications dans cette catégorie

Affiliations :
  • Adelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.
Publications dans "Arcade dentaire" :

Eloá Cristina Passucci Ambrosio

3 publications dans cette catégorie

Affiliations :
  • Department of Pediatric Dentistry, Orthodontics and Public Health, Bauru School of Dentistry, University of São Paulo, Bauru.

Simone Soares

3 publications dans cette catégorie

Affiliations :
  • Department of Prosthesis, Bauru School of Dentistry, University of São Paulo, Bauru.

Lei Li

3 publications dans cette catégorie

Affiliations :
  • Associate Professor, State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Prosthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, PR China. Electronic address: leelei@scu.edu.cn.
Publications dans "Arcade dentaire" :

Sources (9460 au total)

Comparison of deep learning models for digital H&E staining from unpaired label-free multispectral microscopy images.

This paper presents the quantitative comparison of three generative models of digital staining, also known as virtual staining, in H&E modality (i.e., Hematoxylin and Eosin) that are applied to 5 type... The models compared are based on conditional GAN (pix2pix) which uses images aligned with/without staining, and two models that do not require image alignment, Cycle GAN (cycleGAN) and contrastive lea... The comparison of the three models corroborates the visual evaluation of the results showing the superiority of cycleGAN both for its larger structural similarity with respect to chemical staining (me... The results can be satisfactorily evaluated by metrics that use as reference image a chemically stained sample and the digital staining images of the reference sample with prior digital unstaining. Th...

Training immunophenotyping deep learning models with the same-section ground truth cell label derivation method improves virtual staining accuracy.

Deep learning (DL) models predicting biomarker expression in images of hematoxylin and eosin (H&E)-stained tissues can improve access to multi-marker immunophenotyping, crucial for therapeutic monitor... In this study, we assess the impact of cell label derivation on H&E model performance, with CD3... We show that the same-section model exhibited significantly improved prediction performance compared to the 'serial-section' model. Furthermore, the same-section model outperformed the serial-section ... Collectively, our findings suggest that employing ground truth cell labels obtained through the same-section approach boosts immunophenotyping DL solutions....