Multimodal Imaging under Artificial Intelligence Algorithm for the Diagnosis of Liver Cancer and Its Relationship with Expressions of EZH2 and p57

OBJECTIVE: It aimed to explore the diagnostic efficacy of multimodal ultrasound images based on mask region with convolutional neural network (M-RCNN) segmentation algorithm for small liver cancer and analyze the expression of zeste gene enhancer homolog 2 (EZH2) and p57 (P57 Kip2) genes in cancer c...

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Detalles Bibliográficos
Autores principales: Zhang, Yamin, Cui, Jie, Wan, Wei, Liu, Jinpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938086/
https://www.ncbi.nlm.nih.gov/pubmed/35321452
http://dx.doi.org/10.1155/2022/4081654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938086/
https://www.ncbi.nlm.nih.gov/pubmed/35321452
http://dx.doi.org/10.1155/2022/4081654

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