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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer India 2022
Materias:
Original Article
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

Internet

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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