Deep learning to automatically evaluate HER2 gene amplification status from fluorescence in situ hybridization images

Human epidermal growth factor receptor 2 (HER2) gene amplification helps identify breast cancer patients who may respond to targeted anti-HER2 therapy. This study aims to develop an automated method for quantifying HER2 fluorescence in situ hybridization (FISH) signals and improve the working effici...

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Detalles Bibliográficos
Autores principales: Xue, Tian, Chang, Heng, Ren, Min, Wang, Haochen, Yang, Yu, Wang, Boyang, Lv, Lei, Tang, Licheng, Fu, Chicheng, Fang, Qu, He, Chuan, Zhu, Xiaoli, Zhou, Xiaoyan, Bai, Qianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275857/
https://www.ncbi.nlm.nih.gov/pubmed/37328516
http://dx.doi.org/10.1038/s41598-023-36811-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275857/
https://www.ncbi.nlm.nih.gov/pubmed/37328516
http://dx.doi.org/10.1038/s41598-023-36811-z

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