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...

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Detalles Bibliográficos
Autores principales: Du, Tianming, Zhao, Haidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162871/
https://www.ncbi.nlm.nih.gov/pubmed/35663041
http://dx.doi.org/10.1155/2022/1376659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162871/
https://www.ncbi.nlm.nih.gov/pubmed/35663041
http://dx.doi.org/10.1155/2022/1376659

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