Texture Analysis of Enhanced MRI and Pathological Slides Predicts EGFR Mutation Status in Breast Cancer.
Objective. Image texture information was extracted from enhanced magnetic resonance imaging (MRI) and pathological hematoxylin and eosin- (HE-) stained images of female breast cancer patients. We established models individually, and then, we combine the two kinds of data to establish model. Through...
| Published in: | BioMed Research International pp. 1 - 16 |
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| Main Authors: | , |
| Format: | diagnostic images pictorial research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
5/26/2022
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| Online Access: | View this record in EBSCOhost |