Classification of Shoulder X-ray Images with Deep Learning Ensemble Models

Classification of Shoulder X-ray Images with Deep Learning Ensemble Models

Fractures occur in the shoulder area, which has a wider range of motion than other joints in the body, for various reasons. To diagnose these fractures, data gathered from X-radiation (X-ray), magnetic resonance imaging (MRI), or computed tomography (CT) are used. This study aims to help physicians...

Full description

Bibliographic Details
Main Authors:	Fatih Uysal, Fırat Hardalaç, Ozan Peker, Tolga Tolunay, Nil Tokgöz
Format:	Article
Language:	English
Published:	MDPI AG 2021-03-01
Series:	Applied Sciences
Subjects:	biomedical image classification bone fractures deep learning ensemble learning shoulder transfer learning
Online Access:	https://www.mdpi.com/2076-3417/11/6/2723

Similar Items

Auto-Ensemble: An Adaptive Learning Rate Scheduling Based Deep Learning Model Ensembling
by: Jun Yang, et al.
Published: (2020-01-01)

Artificial Intelligence-Based Recognition of Different Types of Shoulder Implants in X-ray Scans Based on Dense Residual Ensemble-Network for Personalized Medicine
by: Haseeb Sultan, et al.
Published: (2021-05-01)

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification
by: Ioannis E. Livieris, et al.
Published: (2018-07-01)

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
by: Jaeyong Kang, et al.
Published: (2021-03-01)

A Super-Learner Ensemble of Deep Networks for Vehicle-Type Classification
by: Mohamed A. Hedeya, et al.
Published: (2020-01-01)

An Ensemble Learning Method for Text Classification Based on Heterogeneous Classifiers
by: Fan Huimin, et al.
Published: (2018-05-01)

Ensemble Learning of Lightweight Deep Learning Models Using Knowledge Distillation for Image Classification
by: Jaeyong Kang, et al.
Published: (2020-09-01)

Classifying shoulder implants in X-ray images using deep learning
by: Gregor Urban, et al.
Published: (2020-01-01)

A Comparative Study of Ensemble Active Learning
by: Alabdulrahman, Rabaa
Published: (2014)

On the utilization of deep and ensemble learning to detect milk adulteration
by: Habib Asseiss Neto, et al.
Published: (2019-07-01)

Dual-Layer Deep Ensemble Techniques for Classifying Heart Disease
by: Jothi Prakash, V., et al.
Published: (2022)

A Novel Ensemble Machine Learning for Robust Microarray Data Classification.
by: Peng, Yonghong
Published: (2009)

Shoulder Implant Manufacturer Detection by Using Deep Learning: Proposed Channel Selection Layer
by: Atınç Yılmaz
Published: (2021-03-01)

Pneumonia Detection on Chest X-ray Images Using Ensemble of Deep Convolutional Neural Networks
by: Dahou, A., et al.
Published: (2022)

Sparsity-driven weighted ensemble classifier
by: Atilla Özgandür, et al.
Published: (2018-01-01)

A Tweet Sentiment Classification Approach Using a Hybrid Stacked Ensemble Technique
by: Babacar Gaye, et al.
Published: (2021-09-01)

Multi-channel capsule network ensemble for plant disease detection
by: Musa Peker
Published: (2021-06-01)

Ensemble Learners of Multiple Deep CNNs for Pulmonary Nodules Classification Using CT Images
by: Baihua Zhang, et al.
Published: (2019-01-01)

An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification
by: Ehab Essa, et al.
Published: (2021-01-01)

Loss-Driven Adversarial Ensemble Deep Learning for On-Line Time Series Analysis
by: Hyungjin Ko, et al.
Published: (2019-06-01)

Extreme Learning Machine-Based Ensemble Transfer Learning for Hyperspectral Image Classification
by: Xiaobo Liu, et al.
Published: (2020-01-01)

Ensemble learning techniques for transmission quality classification in a Pay&Require multi-layer network
by: Żelasko Dariusz, et al.
Published: (2021-03-01)

Ensemble Bootstrapped Deep Deterministic Policy Gradient for Vision-Based Robotic Grasping
by: Weiwei Liu, et al.
Published: (2021-01-01)

Ensemble Transfer Learning Algorithm
by: Xiaobo Liu, et al.
Published: (2018-01-01)

Additive Ensemble Neural Networks
by: Minyoung Park, et al.
Published: (2020-01-01)

Classification of the drifting data streams using heterogeneous diversified dynamic class-weighted ensemble
by: Martin Sarnovsky, et al.
Published: (2021-04-01)

Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
by: Zabit Hameed, et al.
Published: (2020-08-01)

Improved Deep Embedding Clustering with Ensemble Learning
by: HUANG Yuxiang, HUANG Dong, WANG Changdong, LAI Jianhuang
Published: (2021-10-01)

Comparing Stacking Ensemble Techniques to Improve Musculoskeletal Fracture Image Classification
by: Ibrahem Kandel, et al.
Published: (2021-06-01)

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
by: Olivier B. Poirion, et al.
Published: (2021-07-01)

De novo Prediction of Moonlighting Proteins Using Multimodal Deep Ensemble Learning
by: Ying Li, et al.
Published: (2021-03-01)

Comprehensive ensemble in QSAR prediction for drug discovery
by: Sunyoung Kwon, et al.
Published: (2019-10-01)

Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
by: Sivaramakrishnan Rajaraman, et al.
Published: (2020-01-01)

Capturing Contextual Factors in Sentiment Classification: An Ensemble Approach
by: Thien Khai Tran, et al.
Published: (2020-01-01)

Road Surface Classification Using a Deep Ensemble Network with Sensor Feature Selection
by: Jongwon Park, et al.
Published: (2018-12-01)

Distributional Reinforcement Learning with Ensembles
by: Björn Lindenberg Jonas Nordqvist, et al.
Published: (2020-05-01)

Ensemble Pruning via Quadratic Margin Maximization
by: Waldyn G. Martinez
Published: (2021-01-01)

A three-stage, deep learning, ensemble approach for prognosis in patients with Parkinson’s disease
by: Kevin H. Leung, et al.
Published: (2021-06-01)

Individual-Specific Classification of Mental Workload Levels Via an Ensemble Heterogeneous Extreme Learning Machine for EEG Modeling
by: Jiadong Tao, et al.
Published: (2019-07-01)

Ensemble Deep Learning Models for Heart Disease Classification: A Case Study from Mexico
by: Asma Baccouche, et al.
Published: (2020-04-01)

Cannot write session to /tmp/vufind_sessions/sess_c4bksg48qct2r0s5ibfireol9h