An accurate prediction of the origin for bone metastatic cancer using deep learning on digital pathological images

BACKGROUND: Determining the origin of bone metastatic cancer (OBMC) is of great significance to clinical therapeutics. It is challenging for pathologists to determine the OBMC with limited clinical information and bone biopsy. METHODS: We designed a regional multiple-instance learning algorithm to p...

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Detalles Bibliográficos
Autores principales: Zhu, Lianghui, Shi, Huijuan, Wei, Huiting, Wang, Chengjiang, Shi, Shanshan, Zhang, Fenfen, Yan, Renao, Liu, Yiqing, He, Tingting, Wang, Liyuan, Cheng, Junru, Duan, Hufei, Du, Hong, Meng, Fengjiao, Zhao, Wenli, Gu, Xia, Guo, Linlang, Ni, Yingpeng, He, Yonghong, Guan, Tian, Han, Anjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803701/
https://www.ncbi.nlm.nih.gov/pubmed/36577348
http://dx.doi.org/10.1016/j.ebiom.2022.104426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803701/
https://www.ncbi.nlm.nih.gov/pubmed/36577348
http://dx.doi.org/10.1016/j.ebiom.2022.104426

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