Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature s...
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence
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Full title
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Publisher
United States: Elsevier Ltd
Journal title
Language
English
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Publisher
United States: Elsevier Ltd
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Scope and Contents
Contents
AbstractA deep learning (DL) network for 2D-based breast mass segmentation in unenhanced dedicated breast CT images was developed and validated, and its robustness in radiomic feature stability and diagnostic performance compared to manual annotations of multiple radiologists was investigated. 93 mass-like lesions were extensively augmented and use...
Alternative Titles
Full title
Deep learning-based segmentation of breast masses in dedicated breast CT imaging: Radiomic feature stability between radiologists and artificial intelligence
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10448305
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10448305
Other Identifiers
ISSN
0010-4825
E-ISSN
1879-0534
DOI
10.1016/j.compbiomed.2020.103629
