A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture
A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
The emergency department of hospitals receives a massive number of patients with wrist fracture. For the clinical diagnosis of a suspected fracture, X-ray imaging is the major screening tool. A wrist fracture is a significant global health concern for children, adolescents, and the elderly. A missed diagnosis of wrist fracture on medical imaging ca...
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Full title
A Minority Class Balanced Approach Using the DCNN-LSTM Method to Detect Human Wrist Fracture
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TN_cdi_doaj_primary_oai_doaj_org_article_88778a7cb514438a9160fbb43ed2c473
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_88778a7cb514438a9160fbb43ed2c473
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ISSN
2075-1729
E-ISSN
2075-1729
DOI
10.3390/life13010133
