Predicting Breast Cancer Subtypes Using Magnetic Resonance Imaging Based Radiomics With Automatic Segmentation

OBJECTIVE: The aim of the study is to demonstrate whether radiomics based on an automatic segmentation method is feasible for predicting molecular subtypes. METHODS: This retrospective study included 516 patients with confirmed breast cancer. An automatic segmentation—3-dimensional UNet-based Convol...

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Detalles Bibliográficos
Autores principales: Yue, Wen-Yi, Zhang, Hong-Tao, Gao, Shen, Li, Guang, Sun, Ze-Yu, Tang, Zhe, Cai, Jian-Ming, Tian, Ning, Zhou, Juan, Dong, Jing-Hui, Liu, Yuan, Bai, Xu, Sheng, Fu-Geng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Breast Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510832/
https://www.ncbi.nlm.nih.gov/pubmed/37707402
http://dx.doi.org/10.1097/RCT.0000000000001474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10510832/
https://www.ncbi.nlm.nih.gov/pubmed/37707402
http://dx.doi.org/10.1097/RCT.0000000000001474

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