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...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-04-01
|
Series: | Insights into Imaging |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13244-024-01673-0 |