Automated Distal Radius and Ulna Skeletal Maturity Grading from Hand Radiographs with an Attention Multi-Task Learning Method

Automated Distal Radius and Ulna Skeletal Maturity Grading from Hand Radiographs with an Attention Multi-Task Learning Method

<b>Background:</b> Assessment of skeletal maturity is a common clinical practice to investigate adolescent growth and endocrine disorders. The distal radius and ulna (DRU) maturity classification is a practical and easy-to-use scheme that was designed for adolescent idiopathic scoliosis...

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Bibliographic Details
Main Authors: Xiaowei Liu, Rulan Wang, Wenting Jiang, Zhaohua Lu, Ningning Chen, Hongfei Wang
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Tomography
Subjects:
bone age
hand-wrist X-ray
scoliosis
deep learning
classification
segmentation
Online Access:https://www.mdpi.com/2379-139X/10/12/139
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