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Deep Learning-Based Hip X-ray Image Analysis for Predicting Osteoporosis
Shang Wen Feng,
Szu Yin Lin
*
, Yi Hung Chiang, Meng Han Lu, Yu Hsiang Chao
*
此作品的通信作者
管理科學系
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引文 斯高帕斯（Scopus）
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Keyphrases
Deep Learning Methods
100%
Osteoporosis
100%
X-ray Image Analysis
100%
Hip X-ray
100%
X-ray Images
83%
Bone Mineral Density
33%
Osteoporosis Diagnosis
33%
Dual-energy X-ray Absorptiometry
33%
U-Net
33%
Total Hip
33%
Taiwan
16%
High Cost
16%
Artificial Intelligence
16%
Clinical Diagnosis
16%
Predictive Models
16%
Aging Society
16%
Machine Learning Learning
16%
Deep Machine Learning
16%
Classification Model
16%
Classification Performance
16%
Image Data
16%
Image Recognition
16%
Image Segmentation
16%
Low Penetration Rate
16%
Classification Basis
16%
Orthopedics
16%
Evaluation Metrics
16%
Convolutional Neural Network Model
16%
Image Matting
16%
Data Augmentation
16%
Segmentation Model
16%
Deep Learning Algorithm
16%
Medical Issues
16%
Main Criteria
16%
Image Recognition Classification
16%
Femoral Neck
16%
Intersection over Union
16%
T-score
16%
Continuous Development
16%
Greater Trochanter
16%
DenseNet121
16%
UNet++
16%
X-ray Image Segmentation
16%
Orthopedic Diagnosis
16%
Ward's Triangle
16%
Orthopedic Medicine
16%
Engineering
Image Analysis
100%
Deep Learning Method
100%
Image Recognition
66%
Metrics
33%
Network Model
33%
Rate of Penetration
33%
Artificial Intelligence
33%
Learning System
33%
Convolutional Neural Network
33%
Physics
Image Analysis
100%
Deep Learning Method
100%
X Ray
100%
Machine Learning
11%
Convolutional Neural Network
11%
Artificial Intelligence
11%
Chemical Engineering
Deep Learning Method
100%
Learning System
33%
Artificial Intelligence
33%
Neural Network
33%
Material Science
Density
100%