Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Appro...
Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Breast cancer (BC) is the third leading cause of deaths in women globally. In general, histopathology images are recommended for early diagnosis and detailed analysis for BC. Thus, state-of-the-art classification models are required for the early prediction of BC using histopathology images. This study aims to develop an accurate and computationall...
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Full title
Breast Cancer Multi-classification through Deep Neural Network and Hierarchical Classification Approach
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TN_cdi_proquest_journals_2201460077
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2201460077
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ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-019-7525-4
