Deep learning-based breast cancer classification through medical imaging modalities: state of the ar...
Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges
About this item
Full title
Author / Creator
Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
Formats
Publication information
Publisher
Dordrecht: Springer Netherlands
Subjects
More information
Scope and Contents
Contents
Breast cancer is a common and fatal disease among women worldwide. Therefore, the early and precise diagnosis of breast cancer plays a pivotal role to improve the prognosis of patients with this disease. Several studies have developed automated techniques using different medical imaging modalities to predict breast cancer development. However, few...
Alternative Titles
Full title
Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2229993764
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2229993764
Other Identifiers
ISSN
0269-2821
E-ISSN
1573-7462
DOI
10.1007/s10462-019-09716-5
