A classifier-combined method for grading breast cancer based on Dempster-Shafer evidence theory

BACKGROUND: Preoperative non-invasive histologic grading of breast cancer is essential. This study aimed to explore the effectiveness of a machine learning classification method based on Dempster-Shafer (D-S) evidence theory for the histologic grading of breast cancer. METHODS: A total of 489 contra...

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Detalles Bibliográficos
Autores principales: Liu, Zhou, Lin, Fuliang, Huang, Junhui, Wu, Xia, Wen, Jie, Wang, Meng, Ren, Ya, Wei, Xiaoer, Song, Xinyu, Qin, Jing, Lee, Elaine Yuen-Phin, Shao, Dan, Wang, Yixiang, Cheng, Xiaoguang, Hu, Zhanli, Luo, Dehong, Zhang, Na
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167441/
https://www.ncbi.nlm.nih.gov/pubmed/37179927
http://dx.doi.org/10.21037/qims-22-652

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167441/
https://www.ncbi.nlm.nih.gov/pubmed/37179927
http://dx.doi.org/10.21037/qims-22-652

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