Machine learning radiomics of magnetic resonance imaging predicts recurrence-free survival after surgery and correlation of LncRNAs in patients with breast cancer: a multicenter cohort study

BACKGROUND: Several studies have indicated that magnetic resonance imaging radiomics can predict survival in patients with breast cancer, but the potential biological underpinning remains indistinct. Herein, we aim to develop an interpretable deep-learning-based network for classifying recurrence ri...

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Detalles Bibliográficos
Autores principales: Yu, Yunfang, Ren, Wei, He, Zifan, Chen, Yongjian, Tan, Yujie, Mao, Luhui, Ouyang, Wenhao, Lu, Nian, Ouyang, Jie, Chen, Kai, Li, Chenchen, Zhang, Rong, Wu, Zhuo, Su, Fengxi, Wang, Zehua, Hu, Qiugen, Xie, Chuanmiao, Yao, Herui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619251/
https://www.ncbi.nlm.nih.gov/pubmed/37915093
http://dx.doi.org/10.1186/s13058-023-01688-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10619251/
https://www.ncbi.nlm.nih.gov/pubmed/37915093
http://dx.doi.org/10.1186/s13058-023-01688-3

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