BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning

BI-RADS Reading of Non-Mass Lesions on DCE-MRI and Differential Diagnosis Performed by Radiomics and Deep Learning

BackgroundA wide variety of benign and malignant processes can manifest as non-mass enhancement (NME) in breast MRI. Compared to mass lesions, there are no distinct features that can be used for differential diagnosis. The purpose is to use the BI-RADS descriptors and models developed using radiomic...

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Bibliographic Details
Main Authors: Jiejie Zhou, Yan-Lin Liu, Yang Zhang, Jeon-Hor Chen, Freddie J. Combs, Ritesh Parajuli, Rita S. Mehta, Huiru Liu, Zhongwei Chen, Youfan Zhao, Zhifang Pan, Meihao Wang, Risheng Yu, Min-Ying Su
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Oncology
Subjects:
breast neoplasms
computer-assisted diagnosis
deep learning
machine learning
magnetic resonance imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.728224/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.728224/full

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