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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...
Autores principales: | Yan, Rui, Zhang, Fa, Rao, Xiaosong, Lv, Zhilong, Li, Jintao, Zhang, Lingling, Liang, Shuang, Li, Yilin, Ren, Fei, Zheng, Chunhou, Liang, Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
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 |
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