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Learning Rich Attention for Pediatric Bone Age Assessment · Study

WorkLearning Rich Attention for Pediatric Bone Age Assessment

Chuanbin Liu2020

Work2020

Learning Rich Attention for Pediatric Bone Age Assessment

Chuanbin Liu · Hongtao Xie · Yunyan Yan · Zhendong Mao · Yongdong Zhang

9 citations·0/0 files stored·Lecture notes in computer science

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Forensic Anthropology and Bioarchaeology Studies Artificial Intelligence in Healthcare and Education Medical Imaging and Analysis

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References

1959RADIOGRAPHIC ATLAS OF SKELETAL DEVELOPMENT OF THE HAND AND WRIST 2017Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs 2009The BoneXpert Method for Automated Determination of Skeletal Maturity 2016Deep learning for automated skeletal bone age assessment in X-ray images 2018Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks 1994Reproducibility of bone ages when performed by radiology registrars: an audit of Tanner and Whitehouse II versus Greulich and Pyle methods 2018Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph 2018MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2020Self-Supervised Attention Mechanism for Pediatric Bone Age Assessment With Efficient Weak Annotationarticle · 9 shared references 2020Improve Bone Age Assessment by Learning from Anatomical Local Regionsother · 9 shared references 2022Multi-scale multi-reception attention network for bone age assessment in X-ray imagesarticle · 9 shared references 2022Attention-based multiple-instance learning for Pediatric bone age assessment with efficient and interpretablearticle · 8 shared references 2020SIMBA: Specific Identity Markers for Bone Age Assessmentother · 7 shared references 2023Skeletal age evaluation using hand X-rays to determine growth problemsarticle · 7 shared references

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Year2020

Typeother

Published2020-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations9

Files0 public / 0

ShelfForensic Anthropology and Bioarchaeology Studies

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doi10.1007/978-3-030-59710-8_23

openalex_workW3090268080

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