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Deep learning for evaluation of microvascular invasion in hepatocellular carcinoma from tumor areas of histology images
BACKGROUND: Microvascular invasion (MVI) is essential for the management of hepatocellular carcinoma (HCC). However, MVI is hard to evaluate in patients without sufficient peri-tumoral tissue samples, which account for over a half of HCC patients. METHODS: We established an MVI deep-learning (MVI-DL...
Autores principales: | Chen, Qiaofeng, Xiao, Han, Gu, Yunquan, Weng, Zongpeng, Wei, Lihong, Li, Bin, Liao, Bing, Li, Jiali, Lin, Jie, Hei, Mengying, Peng, Sui, Wang, Wei, Kuang, Ming, Chen, Shuling |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174315/ https://www.ncbi.nlm.nih.gov/pubmed/35349075 http://dx.doi.org/10.1007/s12072-022-10323-w |
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