SVTNet: Automatic bone age assessment network based on TW3 method and vision transformer
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
SVTNet: Automatic bone age assessment network based on TW3 method and vision transformer
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-11-03
DOI
10.1002/ima.22990
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Meniscal Tear and ACL Injury Detection Model Based on AlexNet and Iterative ReliefF
- (2022) Sefa Key et al. JOURNAL OF DIGITAL IMAGING
- ViVGG19: Novel Exemplar Deep Feature Extraction-based Shoulder Rotator Cuff Tear and Biceps Tendinosis Detection Using Magnetic Resonance Images
- (2022) Sefa Key et al. MEDICAL ENGINEERING & PHYSICS
- SMANet: multi-region ensemble of convolutional neural network model for skeletal maturity assessment
- (2022) Yi Zhang et al. Quantitative Imaging in Medicine and Surgery
- Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT
- (2021) Francesco Bianconi et al. Quantitative Imaging in Medicine and Surgery
- Automated knee ligament injuries classification method based on exemplar pyramid local binary pattern feature extraction and hybrid iterative feature selection
- (2021) Sukru Demir et al. Biomedical Signal Processing and Control
- Faster Region-Convolutional Neural network oriented feature learning with optimal trained Recurrent Neural Network for bone age assessment for pediatrics
- (2021) Sonal Deshmukh et al. Biomedical Signal Processing and Control
- Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment
- (2021) Chao Chen et al. IEEE Journal of Biomedical and Health Informatics
- Diagnostic performance of convolutional neural network-based Tanner-Whitehouse 3 bone age assessment system
- (2020) Xue-Lian Zhou et al. Quantitative Imaging in Medicine and Surgery
- Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization
- (2019) Christian Payer et al. MEDICAL IMAGE ANALYSIS
- Landmark‐based multi‐region ensemble convolutional neural networks for bone age assessment
- (2019) Shaomeng Cao et al. INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
- Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization
- (2018) Martin Urschler et al. MEDICAL IMAGE ANALYSIS
- Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs
- (2018) David B. Larson et al. RADIOLOGY
- Discrimination of smoking status by MRI based on deep learning method
- (2018) Shuangkun Wang et al. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
- Fully Automated Deep Learning System for Bone Age Assessment
- (2017) Hyunkwang Lee et al. JOURNAL OF DIGITAL IMAGING
- Deep learning for automated skeletal bone age assessment in X-ray images
- (2017) C. Spampinato et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
- (2017) Mohsen Ghafoorian et al. Scientific Reports
- Standards of TW3 skeletal maturity for Chinese children
- (2008) Shao-Yan Zhang et al. ANNALS OF HUMAN BIOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search