Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment
Joint Authors
Li, Zhe
Cai, Jinhua
Yang, Xiao
Li, Hao
Jia, Yuanyuan
He, Xiangqian
Liu, Rui
Source
International Journal of Biomedical Imaging
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-27
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In the study of pediatric automatic bone age assessment (BAA) in clinical practice, the extraction of the object area in hand radiographs is an important part, which directly affects the prediction accuracy of the BAA.
But no perfect segmentation solution has been found yet.
This work is to develop an automatic hand radiograph segmentation method with high precision and efficiency.
We considered the hand segmentation task as a classification problem.
The optimal segmentation threshold for each image was regarded as the prediction target.
We utilized the normalized histogram, mean value, and variance of each image as input features to train the classification model, based on ensemble learning with multiple classifiers.
600 left-hand radiographs with the bone age ranging from 1 to 18 years old were included in the dataset.
Compared with traditional segmentation methods and the state-of-the-art U-Net network, the proposed method performed better with a higher precision and less computational load, achieving an average PSNR of 52.43 dB, SSIM of 0.97, DSC of 0.97, and JSI of 0.91, which is more suitable in clinical application.
Furthermore, the experimental results also verified that hand radiograph segmentation could bring an average improvement for BAA performance of at least 13%.
American Psychological Association (APA)
Liu, Rui& Jia, Yuanyuan& He, Xiangqian& Li, Zhe& Cai, Jinhua& Li, Hao…[et al.]. 2020. Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment. International Journal of Biomedical Imaging،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1169160
Modern Language Association (MLA)
Liu, Rui…[et al.]. Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment. International Journal of Biomedical Imaging No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1169160
American Medical Association (AMA)
Liu, Rui& Jia, Yuanyuan& He, Xiangqian& Li, Zhe& Cai, Jinhua& Li, Hao…[et al.]. Ensemble Learning with Multiclassifiers on Pediatric Hand Radiograph Segmentation for Bone Age Assessment. International Journal of Biomedical Imaging. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1169160
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169160