An AI model of sonographer’s evaluation+ S-Detect + elastography + clinical information improves the preoperative identification of benign and malignant breast masses

An AI model of sonographer’s evaluation+ S-Detect + elastography + clinical information improves the preoperative identification of benign and malignant breast masses

PurposeThe purpose of the study was to build an AI model with selected preoperative clinical features to further improve the accuracy of the assessment of benign and malignant breast nodules.MethodsPatients who underwent ultrasound, strain elastography, and S-Detect before ultrasound-guided biopsy o...

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Bibliographic Details
Main Authors: Pengfei Sun, Ying Feng, Chen Chen, Andre Dekker, Linxue Qian, Zhixiang Wang, Jun Guo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Oncology
Subjects:
breast tumor
computer-aided diagnosis
ultrasonography
AI
radio frequency
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1022441/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.1022441/full

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