Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

Abstract Background Our aim was to demonstrate that automated detection and classification of breast microcalcifications, according to Breast Imaging Reporting and Data System (BI-RADS) categorisation, can be improved with the subtraction of sequential mammograms as opposed to using the most recent...

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Bibliographic Details
Main Authors: Kosmia Loizidou, Galateia Skouroumouni, Costas Pitris, Christos Nikolaou
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:European Radiology Experimental
Subjects:
Breast cancer
Mammography
Radiographic image interpretation (computer-assisted)
Retrospective studies
Machine learning
Online Access:https://doi.org/10.1186/s41747-021-00238-w

Internet

https://doi.org/10.1186/s41747-021-00238-w

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