Cargando…

A calibrated deep learning ensemble for abnormality detection in musculoskeletal radiographs

Musculoskeletal disorders affect the locomotor system and are the leading contributor to disability worldwide. Patients suffer chronic pain and limitations in mobility, dexterity, and functional ability. Musculoskeletal (bone) X-ray is an essential tool in diagnosing the abnormalities. In recent yea...

Descripción completa

Detalles Bibliográficos
Autores principales:	He, Minliang, Wang, Xuming, Zhao, Yijun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079683/ https://www.ncbi.nlm.nih.gov/pubmed/33907257 http://dx.doi.org/10.1038/s41598-021-88578-w

Ejemplares similares

Hybrid Deep Learning Approach for Automatic Detection in Musculoskeletal Radiographs
por: Singh, Gurpreet, et al.
Publicado: (2022)

Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
por: Jones, Rebecca M., et al.
Publicado: (2020)

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

Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph
por: Kuo, Po-Chih, et al.
Publicado: (2021)

Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2020)

Towards Robust and Accurate Detection of Abnormalities in Musculoskeletal Radiographs with a Multi-Network Model
por: Liang, Shuang, et al.
Publicado: (2020)

Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2020)

Development and validation of a deep learning algorithm detecting 10 common abnormalities on chest radiographs
por: Nam, Ju Gang, et al.
Publicado: (2021)

Identification of osteoporosis using ensemble deep learning model with panoramic radiographs and clinical covariates
por: Sukegawa, Shintaro, et al.
Publicado: (2022)

Ensemble deep learning for brain tumor detection
por: Alsubai, Shtwai, et al.
Publicado: (2022)

Ensemble Technique Coupled with Deep Transfer Learning Framework for Automatic Detection of Tuberculosis from Chest X-ray Radiographs
por: Kotei, Evans, et al.
Publicado: (2022)

Multi-label segmentation and detection of COVID-19 abnormalities from chest radiographs using deep learning
por: Arora, Ruchika, et al.
Publicado: (2021)

On the utilization of deep and ensemble learning to detect milk adulteration
por: Neto, Habib Asseiss, et al.
Publicado: (2019)

Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist
por: Hendrix, Nils, et al.
Publicado: (2022)

Automatic detection of abnormal EEG signals using multiscale features with ensemble learning
por: Wu, Tao, et al.
Publicado: (2022)

DeBoNet: A deep bone suppression model ensemble to improve disease detection in chest radiographs
por: Rajaraman, Sivaramakrishnan, et al.
Publicado: (2022)

Deep Learning for the Radiographic Detection of Periodontal Bone Loss
por: Krois, Joachim, et al.
Publicado: (2019)

Explainable emphysema detection on chest radiographs with deep learning
por: Çallı, Erdi, et al.
Publicado: (2022)

Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment
por: Liu, Rui, et al.
Publicado: (2020)

Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images
por: Gianchandani, Neha, et al.
Publicado: (2020)

Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats
por: Dumortier, Léo, et al.
Publicado: (2022)

BoostNet: a method to enhance the performance of deep learning model on musculoskeletal radiographs X-ray images
por: Mall, Pawan Kumar, et al.
Publicado: (2022)

A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection
por: Dutta, Vibekananda, et al.
Publicado: (2020)

A deep learning-based ensemble method for helmet-wearing detection
por: Fan, Zheming, et al.
Publicado: (2020)

EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma
por: Shah, Asghar Ali, et al.
Publicado: (2023)

Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique
por: Ali, Abdullah Marish, et al.
Publicado: (2022)

Ensemble of Deep Learning Models for Sleep Apnea Detection: An Experimental Study
por: Mukherjee, Debadyuti, et al.
Publicado: (2021)

EDLDR: An Ensemble Deep Learning Technique for Detection and Classification of Diabetic Retinopathy
por: Mondal, Sambit S., et al.
Publicado: (2022)

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

Detection of mandibular fractures on panoramic radiographs using deep learning
por: Vinayahalingam, Shankeeth, et al.
Publicado: (2022)

Application of Deep Learning Techniques for Detection of Pneumothorax in Chest Radiographs
por: Deng, Lawrence Y., et al.
Publicado: (2023)

EnsembleSplice: ensemble deep learning model for splice site prediction
por: Akpokiro, Victor, et al.
Publicado: (2022)

Deep Ensemble Learning for Retinal Image Classification
por: Ho, Edward, et al.
Publicado: (2022)

Deep Reinforcement Learning for the Detection of Abnormal Data in Smart Meters
por: Sun, Shuxian, et al.
Publicado: (2022)

A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs
por: Yesiltepe, Selin, et al.
Publicado: (2022)

A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection
por: Khan, Habib Ullah, et al.
Publicado: (2022)

Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance
por: Bressem, Keno K., et al.
Publicado: (2021)

Automatic Detection of Mandibular Fractures in Panoramic Radiographs Using Deep Learning
por: Son, Dong-Min, et al.
Publicado: (2021)

Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs
por: Yang, Hyunwoo, et al.
Publicado: (2020)

Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks
por: Bermejo-Peláez, David, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_iat6rc04ct972dq2itks0kdp7i