Richer fusion network for breast cancer classification based on multimodal data

BACKGROUND: Deep learning algorithms significantly improve the accuracy of pathological image classification, but the accuracy of breast cancer classification using only single-mode pathological images still cannot meet the needs of clinical practice. Inspired by the real scenario of pathologists re...

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Detalles Bibliográficos
Autores principales: Yan, Rui, Zhang, Fa, Rao, Xiaosong, Lv, Zhilong, Li, Jintao, Zhang, Lingling, Liang, Shuang, Li, Yilin, Ren, Fei, Zheng, Chunhou, Liang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061018/
https://www.ncbi.nlm.nih.gov/pubmed/33888098
http://dx.doi.org/10.1186/s12911-020-01340-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061018/
https://www.ncbi.nlm.nih.gov/pubmed/33888098
http://dx.doi.org/10.1186/s12911-020-01340-6

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