Related references
Note: Only part of the references are listed.Development and evaluation of deep learning for screening dental caries from oral photographs
Xuan Zhang et al.
ORAL DISEASES (2022)
Generalizability of Deep Learning Models for Caries Detection in Near-Infrared Light Transillumination Images
Agnes Holtkamp et al.
JOURNAL OF CLINICAL MEDICINE (2021)
Detecting white spot lesions on dental photography using deep learning: A pilot study
Haitham Askar 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)
Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques
Alejandro Puente-Castro et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
A comprehensive survey on support vector machine classification: Applications, challenges and trends
Jair Cervantes et al.
NEUROCOMPUTING (2020)
Automated detection and quantification of COVID-19 pneumonia: CT imaging analysis by a deep learning-based software
Hai-tao Zhang et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2020)
Detecting caries lesions of different radiographic extension on bitewings using deep learning
Anselmo Garcia Cantu et al.
JOURNAL OF DENTISTRY (2020)
Dental caries diagnosis in digital radiographs using back-propagation neural network
V. Geetha et al.
HEALTH INFORMATION SCIENCE AND SYSTEMS (2020)
Deep Learning for the Radiographic Detection of Apical Lesions
Thomas Ekert et al.
JOURNAL OF ENDODONTICS (2019)
Caries Detection with Near-Infrared Transillumination Using Deep Learning
F. Casalegno et al.
JOURNAL OF DENTAL RESEARCH (2019)
Convolutional neural networks for dental image diagnostics: A scoping review
Falk Schwendicke et al.
JOURNAL OF DENTISTRY (2019)
A survey on Image Data Augmentation for Deep Learning
Connor Shorten et al.
JOURNAL OF BIG DATA (2019)
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
Mohammed A. Al-Masni et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (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)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Radiographic diagnosis of proximal caries-influence of experience and gender of the dental staff
Margrit-Ann Geibel et al.
CLINICAL ORAL INVESTIGATIONS (2017)
Comparison of different caries detectors for approximal caries detection
Esin Bozdemir et al.
JOURNAL OF DENTAL SCIENCES (2016)
Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning
Jinhua Wang et al.
SCIENTIFIC REPORTS (2016)
Radiographic caries detection: A systematic review and meta-analysis
Falk Schwendicke et al.
JOURNAL OF DENTISTRY (2015)
Proximal caries detection accuracy using intraoral bitewing radiography, extraoral bitewing radiography and panoramic radiography
K. Kamburoglu et al.
DENTOMAXILLOFACIAL RADIOLOGY (2012)
What is an appropriate caries diagnosis?
Vibeke Baelum
ACTA ODONTOLOGICA SCANDINAVICA (2010)
The dynamic range of digital radiographic systems: dose reduction or risk of overexposure?
WER Berkhout et al.
DENTOMAXILLOFACIAL RADIOLOGY (2004)
Share Paper
