Artificial Intelligence Algorithm in Classification and Recognition of Primary Hepatic Carcinoma Images under Magnetic Resonance Imaging

This study aimed to discuss the application value of the bias field correction algorithm in magnetic resonance imaging (MRI) images of patients with primary hepatic carcinoma (PHC). In total, 52 patients with PHC were selected as the experimental group and divided into three subgroups: mild (15 case...

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Detalles Bibliográficos
Autores principales: He, Zehua, Huang, Qingqiang, Liao, Yingyang, Xu, Xiaojie, Wu, Qiulin, Nong, Yuanle, Peng, Ningfu, He, Wanrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197610/
https://www.ncbi.nlm.nih.gov/pubmed/35800234
http://dx.doi.org/10.1155/2022/8950600

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197610/
https://www.ncbi.nlm.nih.gov/pubmed/35800234
http://dx.doi.org/10.1155/2022/8950600

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