Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-base...
Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Contents
Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques. Dist...
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Full title
Effective BCDNet-based breast cancer classification model using hybrid deep learning with VGG16-based optimal feature extraction
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_79f246fe49ca4363adec5d10958c3ce6
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_79f246fe49ca4363adec5d10958c3ce6
Other Identifiers
ISSN
1471-2342
E-ISSN
1471-2342
DOI
10.1186/s12880-024-01538-4
