Fine-grained precise-bone age assessment by integrating prior knowledge and recursive feature pyrami...
Fine-grained precise-bone age assessment by integrating prior knowledge and recursive feature pyramid network
About this item
Full title
Author / Creator
Jia, Yang , Zhang, Xinmeng , Du, Hanrong , Chen, Weiguang , Jin, Xiaohui , Qi, Wei , Yang, Bin , Zhang, Qiujuan and Wei, Zhi
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
Subjects
More information
Scope and Contents
Contents
Bone age assessment (BAA) evaluates individual skeletal maturity by comparing the characteristics of skeletal development to the standard in a specific population. The X-ray image examination for bone age is tedious and subjective, and it requires high professional skills. Therefore, AI techniques are desired to innovate and improve BAA methods. Mo...
Alternative Titles
Full title
Fine-grained precise-bone age assessment by integrating prior knowledge and recursive feature pyramid network
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_5e9bfe30a7b24d2e8d8394ef5788691a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5e9bfe30a7b24d2e8d8394ef5788691a
Other Identifiers
ISSN
1687-5281,1687-5176
E-ISSN
1687-5281
DOI
10.1186/s13640-022-00589-3
