Predicting lymphovascular invasion in clinically node-negative breast cancer detected by abbreviated magnetic resonance imaging: Transfer learning vs. radiomics

Predicting lymphovascular invasion in clinically node-negative breast cancer detected by abbreviated magnetic resonance imaging: Transfer learning vs. radiomics

ObjectiveTo compare the performance of abbreviated breast magnetic resonance imaging (AB-MRI)-based transfer learning (TL) algorithm and radionics analysis for lymphovascular invasion (LVI) prediction in patients with clinically node-negative invasive breast cancer (IBC).MethodsBetween November 2017...

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Bibliographic Details
Main Authors: Bao Feng, Zhuangsheng Liu, Yu Liu, Yehang Chen, Haoyang Zhou, Enming Cui, Xiaoping Li, Xiangmeng Chen, Ronggang Li, Tianyou Yu, Ling Zhang, Wansheng Long
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Oncology
Subjects:
magnetic resonance imaging
lymph nodes
breast neoplasms
radiomic analysis
transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.890659/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.890659/full

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