Deep learning for lesion detection, progression, and prediction of musculoskeletal disease
出版年份 2019 全文链接
标题
Deep learning for lesion detection, progression, and prediction of musculoskeletal disease
作者
关键词
-
出版物
JOURNAL OF MAGNETIC RESONANCE IMAGING
Volume -, Issue -, Pages -
出版商
Wiley
发表日期
2019-11-25
DOI
10.1002/jmri.27001
参考文献
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。- Automatic knee meniscus tear detection and orientation classification with Mask-RCNN
- (2019) V. Couteaux et al. Diagnostic and Interventional Imaging
- Artificial intelligence to diagnose meniscus tears on MRI
- (2019) V. Roblot et al. Diagnostic and Interventional Imaging
- Diagnosing Osteoarthritis from T2 Maps using Deep Learning: An Analysis of the Entire Osteoarthritis Initiative Baseline Cohort
- (2019) Valentina Pedoia et al. OSTEOARTHRITIS AND CARTILAGE
- MANTIS: Model-Augmented Neural neTwork with Incoherent k -space Sampling for efficient MR parameter mapping
- (2019) Fang Liu et al. MAGNETIC RESONANCE IN MEDICINE
- Performance of a Deep Learning Algorithm in Detecting Osteonecrosis of the Femoral Head on Digital Radiography: A Comparison With Assessments by Radiologists
- (2019) Choong Guen Chee et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Deep learning and SURF for automated classification and detection of calcaneus fractures in CT images
- (2019) Yoga Dwi Pranata et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs
- (2019) Chi-Tung Cheng et al. EUROPEAN RADIOLOGY
- Ankle Fracture Detection Utilizing a Convolutional Neural Network Ensemble Implemented with a Small Sample, De Novo Training, and Multiview Incorporation
- (2019) Gene Kitamura et al. JOURNAL OF DIGITAL IMAGING
- SANTIS: Sampling‐Augmented Neural neTwork with Incoherent Structure for MR image reconstruction
- (2019) Fang Liu et al. MAGNETIC RESONANCE IN MEDICINE
- Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
- (2018) Seok Won Chung et al. Acta Orthopaedica
- Artificial intelligence in fracture detection: transfer learning from deep convolutional neural networks
- (2018) D.H. Kim et al. CLINICAL RADIOLOGY
- Deep neural networks for automatic detection of osteoporotic vertebral fractures on CT scans
- (2018) Naofumi Tomita et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automated system for the detection of thoracolumbar fractures using a CNN architecture
- (2018) U. Raghavendra et al. Future Generation Computer Systems-The International Journal of eScience
- Deep convolutional neural network for segmentation of knee joint anatomy
- (2018) Zhaoye Zhou et al. MAGNETIC RESONANCE IN MEDICINE
- Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs
- (2018) David B. Larson et al. RADIOLOGY
- Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network
- (2018) Takaaki Urakawa et al. SKELETAL RADIOLOGY
- Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
- (2018) Aleksei Tiulpin et al. Scientific Reports
- Machine Learning in Medical Imaging
- (2018) Maryellen L. Giger Journal of the American College of Radiology
- Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data
- (2018) Jiri Chmelik et al. MEDICAL IMAGE ANALYSIS
- Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis
- (2018) Kiwook Kim et al. Scientific Reports
- Detection of Traumatic Pediatric Elbow Joint Effusion Using a Deep Convolutional Neural Network
- (2018) Joseph R. England et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- 3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects
- (2018) Valentina Pedoia et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures
- (2018) Matthew Adams et al. Journal of Medical Imaging and Radiation Oncology
- Deep neural network improves fracture detection by clinicians
- (2018) Robert Lindsey et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet
- (2018) Nicholas Bien et al. PLOS MEDICINE
- The RSNA Pediatric Bone Age Machine Learning Challenge
- (2018) Safwan S. Halabi et al. RADIOLOGY
- ISSLS PRIZE IN BIOENGINEERING SCIENCE 2017: Automation of reading of radiological features from magnetic resonance images (MRIs) of the lumbar spine without human intervention is comparable with an expert radiologist
- (2017) Amir Jamaludin et al. EUROPEAN SPINE JOURNAL
- Deep convolutional neural network and 3D deformable approach for tissue segmentation in musculoskeletal magnetic resonance imaging
- (2017) Fang Liu et al. MAGNETIC RESONANCE IN MEDICINE
- Learning a variational network for reconstruction of accelerated MRI data
- (2017) Kerstin Hammernik et al. MAGNETIC RESONANCE IN MEDICINE
- SpineNet: Automated classification and evidence visualization in spinal MRIs
- (2017) Amir Jamaludin et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Machine Learning for Medical Imaging
- (2017) Bradley J. Erickson et al. RADIOGRAPHICS
- A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis
- (2017) Yanping Xue et al. PLoS One
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
- (2016) Hoo-Chang Shin et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Reliability and Accuracy of Cross-sectional Radiographic Assessment of Severe Knee Osteoarthritis: Role of Training and Experience
- (2016) K. Klara et al. JOURNAL OF RHEUMATOLOGY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Machine Learning in Medical Imaging
- (2010) Miles Wernick et al. IEEE SIGNAL PROCESSING MAGAZINE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started