相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Artificial intelligence in dental research: Checklist for authors, reviewers, readers
Falk Schwendicke et al.
JOURNAL OF DENTISTRY (2021)
Deep learning for caries lesion detection in near-infrared light transillumination images: A pilot study
Falk Schwendicke et al.
JOURNAL OF DENTISTRY (2020)
Artificial Intelligence in Dentistry: Chances and Challenges
F. Schwendicke et al.
JOURNAL OF DENTAL RESEARCH (2020)
Detecting caries lesions of different radiographic extension on bitewings using deep learning
Anselmo Garcia Cantu et al.
JOURNAL OF DENTISTRY (2020)
Numbering and Classification of Panoramic Dental Images Using 6-Layer Convolutional Neural Network
Prerna Singh et al.
PATTERN RECOGNITION AND IMAGE ANALYSIS (2020)
Deep Learning for the Radiographic Detection of Apical Lesions
Thomas Ekert et al.
JOURNAL OF ENDODONTICS (2019)
Deep Learning for the Radiographic Detection of Periodontal Bone Loss
Joachim Krois et al.
SCIENTIFIC REPORTS (2019)
Identification and classification of dental implant systems using various deep learning‐based convolutional neural network architectures
Lee Jae‐Hong
CLINICAL ORAL IMPLANTS RESEARCH (2019)
A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography
Teruhiko Hiraiwa et al.
DENTOMAXILLOFACIAL RADIOLOGY (2019)
Convolutional neural networks for dental image diagnostics: A scoping review
Falk Schwendicke et al.
JOURNAL OF DENTISTRY (2019)
Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography
Makoto Murata et al.
ORAL RADIOLOGY (2019)
Boosting Proximal Dental Caries Detection via Combination of Variational Methods and Convolutional Neural Network
Joonhyang Choi et al.
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (2018)
Fuzzy gold standards: Approaches to handling an imperfect reference standard
Tanya Walsh
JOURNAL OF DENTISTRY (2018)
Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm
Jae-Hong Lee et al.
JOURNAL OF PERIODONTAL AND IMPLANT SCIENCE (2018)
Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm
Jae-Hong Lee et al.
JOURNAL OF DENTISTRY (2018)
Application of Convolutional Neural Network in the Diagnosis of Jaw Tumors
Wiwiek Poedjiastoeti et al.
HEALTHCARE INFORMATICS RESEARCH (2018)
Deep Learning in Mammography Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer
Anton S. Becker et al.
INVESTIGATIVE RADIOLOGY (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)
Four challenges in medical image analysis from an industrial perspective
Jurgen Weese et al.
MEDICAL IMAGE ANALYSIS (2016)
A Fundamental Theorem of Biomedical Informatics
Charles P. Friedman
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2009)