MVI-TR: A Transformer-Based Deep Learning Model with Contrast-Enhanced CT for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma

SIMPLE SUMMARY: For early-stage hepatocellular carcinoma (HCC) (size ≤ 5 cm), the prediction of microvascular invasion (MVI) before operation is important for the therapeutic strategy. This study aimed to construct deep learning (DL) models based only on the venous phase (VP) of contrast-enhanced co...

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Detalles Bibliográficos
Autores principales: Cao, Linping, Wang, Qing, Hong, Jiawei, Han, Yuzhe, Zhang, Weichen, Zhong, Xun, Che, Yongqian, Ma, Yaqi, Du, Keyi, Wu, Dongyan, Pang, Tianxiao, Wu, Jian, Liang, Kewei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001339/
https://www.ncbi.nlm.nih.gov/pubmed/36900327
http://dx.doi.org/10.3390/cancers15051538

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10001339/
https://www.ncbi.nlm.nih.gov/pubmed/36900327
http://dx.doi.org/10.3390/cancers15051538

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