AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ

Abstract Objectives To evaluate whether the quantitative abnormality scores provided by artificial intelligence (AI)-based computer-aided detection/diagnosis (CAD) for mammography interpretation can be used to predict invasive upgrade in ductal carcinoma in situ (DCIS) diagnosed on percutaneous biop...

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Bibliographic Details
Main Authors: Jiyoung Yoon, Juyeon Yang, Hye Sun Lee, Min Jung Kim, Vivian Youngjean Park, Miribi Rho, Jung Hyun Yoon
Format: Article
Language:English
Published: SpringerOpen 2024-04-01
Series:Insights into Imaging
Subjects:
Artificial intelligence
Breast
Carcinoma (Intraductal noninfiltrating)
Image-guided biopsy
Mammography
Online Access:https://doi.org/10.1186/s13244-024-01673-0

Internet

https://doi.org/10.1186/s13244-024-01673-0

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