A Decision Support System Based on BI-RADS and Radiomic Classifiers to Reduce False Positive Breast Calcifications at Digital Breast Tomosynthesis: A Preliminary Study

Digital breast tomosynthesis (DBT) studies were introduced as a successful help for the detection of calcification, which can be a primary sign of cancer. Expert radiologists are able to detect suspicious calcifications in DBT, but a high number of calcifications with non-malignant diagnosis at biop...

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主要な著者:	Marco Alì, Natascha Claudia D’Amico, Matteo Interlenghi, Marina Maniglio, Deborah Fazzini, Simone Schiaffino, Christian Salvatore, Isabella Castiglioni, Sergio Papa
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-03-01
シリーズ:	Applied Sciences
主題:	radiomic digital breast tomosynthesis calcifications diagnostic imaging
オンライン･アクセス:	https://www.mdpi.com/2076-3417/11/6/2503
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