Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution

Abstract Background As artificial intelligence methods for the diagnosis of disease advance, we aimed to evaluate machine learning in the predictive task of distinguishing between malignant and benign breast lesions on an independent clinical magnetic resonance imaging (MRI) dataset within a single...

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Bibliographic Details
Main Authors: Yu Ji, Hui Li, Alexandra V. Edwards, John Papaioannou, Wenjuan Ma, Peifang Liu, Maryellen L. Giger
Format: Article
Language:English
Published: BMC 2019-09-01
Series:Cancer Imaging
Subjects:
Computer-aided diagnosis
Breast cancer
Quantitative MRI
Radiomics
Machine learning
Artificial intelligence (AI)
Online Access:http://link.springer.com/article/10.1186/s40644-019-0252-2

Internet

http://link.springer.com/article/10.1186/s40644-019-0252-2

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