Cargando…

Deep Learning for Caries Detection and Classification

Objectives: Deep learning methods have achieved impressive diagnostic performance in the field of radiology. The current study aimed to use deep learning methods to detect caries lesions, classify different radiographic extensions on panoramic films, and compare the classification results with those...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lian, Luya, Zhu, Tianer, Zhu, Fudong, Zhu, Haihua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469830/ https://www.ncbi.nlm.nih.gov/pubmed/34574013 http://dx.doi.org/10.3390/diagnostics11091672

Ejemplares similares

CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image
por: Zhu, Haihua, et al.
Publicado: (2022)

Artificial Intelligence Model to Detect Real Contact Relationship between Mandibular Third Molars and Inferior Alveolar Nerve Based on Panoramic Radiographs
por: Zhu, Tianer, et al.
Publicado: (2021)

Related Risk Factors of Early Childhood Caries in Zhejiang Province, China During the COVID-19 Pandemic
por: Huang, Chaoqiang, et al.
Publicado: (2022)

The prevalence and common risk indicators of root caries and oral health service utilization pattern among adults, a cross-sectional study
por: Chen, Weixing, et al.
Publicado: (2023)

Caries prevalence of the first permanent molars in 6–8 years old children
por: Zhu, Fudong, et al.
Publicado: (2021)

A two-stage deep learning architecture for radiographic staging of periodontal bone loss
por: Jiang, Linhong, et al.
Publicado: (2022)

Vital Pulp Therapy in Permanent Teeth with Irreversible Pulpitis Caused by Caries: A Prospective Cohort Study
por: Guan, Xiaoxu, et al.
Publicado: (2021)

Classification of caries in third molars on panoramic radiographs using deep learning
por: Vinayahalingam, Shankeeth, et al.
Publicado: (2021)

Deep learning for early dental caries detection in bitewing radiographs
por: Lee, Shinae, et al.
Publicado: (2021)

Caries Detection with Near-Infrared Transillumination Using Deep Learning
por: Casalegno, F., et al.
Publicado: (2019)

Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method
por: Chen, Xiaotong, et al.
Publicado: (2023)

Generalizability of Deep Learning Models for Caries Detection in Near-Infrared Light Transillumination Images
por: Holtkamp, Agnes, et al.
Publicado: (2021)

Dental Caries Status and Caries Risk Factors in Students Ages 12–14 Years in Zhejiang, China
por: Hu, Jinghao, et al.
Publicado: (2018)

Plant Disease Detection and Classification by Deep Learning
por: Saleem, Muhammad Hammad, et al.
Publicado: (2019)

Caries detection with tooth surface segmentation on intraoral photographic images using deep learning
por: Park, Eun Young, et al.
Publicado: (2022)

Melanoma Detection Using Deep Learning-Based Classifications
por: Alwakid, Ghadah, et al.
Publicado: (2022)

Classification of Arrhythmia in Heartbeat Detection Using Deep Learning
por: Ullah, Wusat, et al.
Publicado: (2021)

Detection and Classification of Colorectal Polyp Using Deep Learning
por: Tanwar, Sushama, et al.
Publicado: (2022)

Deep learning performance for detection and classification of microcalcifications on mammography
por: Pesapane, Filippo, et al.
Publicado: (2023)

A deep learning model using convolutional neural networks for caries detection and recognition with endoscopes
por: Zang, Xiaoyi, et al.
Publicado: (2022)

Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification
por: Taleb, Aiham, et al.
Publicado: (2022)

Deep fake detection and classification using error-level analysis and deep learning
por: Rafique, Rimsha, et al.
Publicado: (2023)

Assessment of life support skills of resident dentists using OSCE: cross-sectional survey
por: Yang, Fan, et al.
Publicado: (2022)

Face mask detection and classification via deep transfer learning
por: Su, Xueping, et al.
Publicado: (2021)

Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning
por: McClure, Kristin, et al.
Publicado: (2020)

A Deep Learning Framework for Signal Detection and Modulation Classification
por: Zha, Xiong, et al.
Publicado: (2019)

Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy
por: Mohanty, Cheena, et al.
Publicado: (2023)

Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media
por: S, Neelakandan, et al.
Publicado: (2022)

Deep learning data augmentation for Raman spectroscopy cancer tissue classification
por: Wu, Man, et al.
Publicado: (2021)

DeepCC: a novel deep learning-based framework for cancer molecular subtype classification
por: Gao, Feng, et al.
Publicado: (2019)

Automated Caries Screening Using Ensemble Deep Learning on Panoramic Radiographs
por: Bui, Toan Huy, et al.
Publicado: (2022)

Deep Learning for Object Detection, Classification and Tracking in Industry Applications
por: Wang, Dadong, et al.
Publicado: (2021)

Deep Learning for Encrypted Traffic Classification and Unknown Data Detection
por: Pathmaperuma, Madushi H., et al.
Publicado: (2022)

Breast Cancer Dataset, Classification and Detection Using Deep Learning
por: Iqbal, Muhammad Shahid, et al.
Publicado: (2022)

Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics
por: Bermant, Peter C., et al.
Publicado: (2019)

Automated detection and classification of early AMD biomarkers using deep learning
por: Saha, Sajib, et al.
Publicado: (2019)

Bucket of Deep Transfer Learning Features and Classification Models for Melanoma Detection
por: Manzo, Mario, et al.
Publicado: (2020)

On the Automatic Detection and Classification of Skin Cancer Using Deep Transfer Learning
por: Fraiwan, Mohammad, et al.
Publicado: (2022)

Detection of COVID-19 using deep learning techniques and classification methods
por: Oğuz, Çinare, et al.
Publicado: (2022)

Deep Learning for the Detection and Classification of Diabetic Retinopathy with an Improved Activation Function
por: Bhimavarapu, Usharani, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_b9n7sgnd66c87vvcnqs9e9vhnb