CT classification model of pancreatic serous cystic neoplasms and mucinous cystic neoplasms based on a deep neural network

BACKGROUND: At present, numerous challenges exist in the diagnosis of pancreatic SCNs and MCNs. After the emergence of artificial intelligence (AI), many radiomics research methods have been applied to the identification of pancreatic SCNs and MCNs. PURPOSE: A deep neural network (DNN) model termed...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Rong, Chen, Yizhou, Sa, Guo, Li, Kangjie, Hu, Haigen, Zhou, Jie, Guan, Qiu, Chen, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Pancreas
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776667/
https://www.ncbi.nlm.nih.gov/pubmed/34636931
http://dx.doi.org/10.1007/s00261-021-03230-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776667/
https://www.ncbi.nlm.nih.gov/pubmed/34636931
http://dx.doi.org/10.1007/s00261-021-03230-5

Ejemplares similares