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。A decision support tool for early detection of knee OsteoArthritis using X-ray imaging and machine learning: Data from the OsteoArthritis Initiative
Abdelbasset Brahim et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2019)
A Novel Method to Predict Knee Osteoarthritis Progression on MRI Using Machine Learning Methods
Yaodong Du et al.
IEEE TRANSACTIONS ON NANOBIOSCIENCE (2018)
Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Aleksei Tiulpin et al.
SCIENTIFIC REPORTS (2018)
Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network
Odongo Steven Eyobu et al.
SENSORS (2018)
Predicting Infectious Disease Using Deep Learning and Big Data
Sangwon Chae et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)
Deep Region of Interest and Feature Extraction Models for Palmprint Verification Using Convolutional Neural Networks Transfer Learning
Mahdieh Izadpanahkakhk et al.
APPLIED SCIENCES-BASEL (2018)
Predicting Early Symptomatic Osteoarthritis in the Human Knee Using Machine Learning Classification of Magnetic Resonance Images From the Osteoarthritis Initiative
Beth G. Ashinsky et al.
JOURNAL OF ORTHOPAEDIC RESEARCH (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image
Kele Xu et al.
MOLECULES (2017)
A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women
N. Lazzarini et al.
OSTEOARTHRITIS AND CARTILAGE (2017)
The Association between Osteoarthritis and Occupational Clusters in the Korean Population: A Nationwide Study
Hongdeok Seok et al.
PLOS ONE (2017)
An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
Luyang Jing et al.
SENSORS (2017)
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
Xiaolei Ma et al.
SENSORS (2017)
Deep Learning for Health Informatics
Daniele Ravi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)
A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis
Yanping Xue et al.
PLOS ONE (2017)
Association between direct and indirect smoking and osteoarthritis prevalence in Koreans: a cross-sectional study
Kyungrae Kang et al.
BMJ OPEN (2016)
Shifting Gears in Osteoarthritis Research Toward Symptomatic Osteoarthritis
Yuqing Zhang et al.
ARTHRITIS & RHEUMATOLOGY (2016)
The Risk Factors of Laryngeal Pathology in Korean Adults Using a Decision Tree Model
Haewon Byeon
JOURNAL OF VOICE (2015)
Big Data for Health
Javier Andreu-Perez et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2015)
Neural networks for analysis of trabecular bone in osteoarthritis
Natalia A. Khovanova et al.
BIOINSPIRED BIOMIMETIC AND NANOBIOMATERIALS (2015)
Occupational Physical Loading Tasks and Knee Osteoarthritis: A Review of the Evidence
Allison M. Ezzat et al.
PHYSIOTHERAPY CANADA (2014)
Epidemiology and burden of osteoarthritis
Anna Litwic et al.
BRITISH MEDICAL BULLETIN (2013)
Psychological health impact on 2-year changes in pain and function in persons with knee pain: data from the Osteoarthritis Initiative
D. L. Riddle et al.
OSTEOARTHRITIS AND CARTILAGE (2011)
Risk factors for onset of osteoarthritis of the knee in older adults: a systematic review and meta-analysis
M. Blagojevic et al.
OSTEOARTHRITIS AND CARTILAGE (2010)
No clear association between female hormonal aspects and osteoarthritis of the hand, hip and knee: a systematic review
Bianca M. de Klerk et al.
RHEUMATOLOGY (2009)
Obesity and osteoarthritis in knee, hip and/or hand: An epidemiological study in the general population with 10 years follow-up
Margreth Grotle et al.
BMC MUSCULOSKELETAL DISORDERS (2008)
分享论文
