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Fully Automated Bone Age Assessment on Large-Scale Hand X-Ray Dataset
Xiaoying Pan
, Yizhe Zhao
, Hao Chen
, De Wei
, Chen Zhao
,
Zhi Wei
Research output
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Contribution to journal
›
Article
›
peer-review
46
Scopus citations
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Dive into the research topics of 'Fully Automated Bone Age Assessment on Large-Scale Hand X-Ray Dataset'. Together they form a unique fingerprint.
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Keyphrases
Active Learning
20%
Active Learning Framework
20%
Annotated Dataset
20%
Annotation Burden
20%
Art Performance
20%
Assessment Method
20%
Automated Bone Age
100%
Automated Method
20%
Automatic Bone Age
20%
Biological Maturity
20%
Bone Age
20%
Bone Age Assessment
100%
Clinical Practice
20%
Computer-aided Methods
20%
Convolutional Neural Network
40%
Deep Active Learning
20%
Deep Convolutional Neural Network (deep CNN)
20%
Dice Score
20%
Ensemble Regression
20%
Extracting Features
40%
Fully Automated
100%
Fully-automatic
20%
Hand Image
20%
Hand Mask
20%
Hand X-ray
100%
ImageNet
20%
Interobserver Variability
20%
Learning Process
20%
Manual Method
20%
Mask Image
20%
Oracle
20%
Regression Algorithm
20%
Segmentation Model
20%
Transfer Learning Model
20%
U-Net
60%
Unlabeled Data
20%
X-ray Dataset
100%
X-ray Images
40%
Computer Science
Active Learning
100%
Annotation
66%
Art Performance
33%
Assessment Method
33%
Convolutional Neural Network
66%
Deep Convolutional Neural Networks
33%
Experimental Result
33%
Learning Framework
33%
Learning Process
33%
Learning Technique
33%
Observer Variability
33%
Segmentation Model
33%
Transfer Learning
33%
U-Net
100%
Unlabeled Data
33%
Earth and Planetary Sciences
Assessment Method
100%
State of the Art
100%
Biochemistry, Genetics and Molecular Biology
Transfer of Learning
33%
X Ray
100%
Neuroscience
Neural Network
100%