Classification prediction of pancreatic cystic neoplasms based on radiomics deep learning models

BACKGROUND: Preoperative prediction of pancreatic cystic neoplasm (PCN) differentiation has significant value for the implementation of personalized diagnosis and treatment plans. This study aimed to build radiomics deep learning (DL) models using computed tomography (CT) data for the preoperative d...

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Detalles Bibliográficos
Autores principales: Liang, Wenjie, Tian, Wuwei, Wang, Yifan, Wang, Pan, Wang, Yubizhuo, Zhang, Hongbin, Ruan, Shijian, Shao, Jiayuan, Zhang, Xiuming, Huang, Danjiang, Ding, Yong, Bai, Xueli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710154/
https://www.ncbi.nlm.nih.gov/pubmed/36447168
http://dx.doi.org/10.1186/s12885-022-10273-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710154/
https://www.ncbi.nlm.nih.gov/pubmed/36447168
http://dx.doi.org/10.1186/s12885-022-10273-4

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