A semi-supervised convolutional neural network for diagnosis of pancreatic ductal adenocarcinoma based on EUS-FNA cytological images

Abstract Background The cytological diagnostic process of EUS-FNA smears is time-consuming and manpower-intensive, and the conclusion could be subjective and controversial. Moreover, the relative lack of cytopathologists has limited the widespread implementation of Rapid on-site evaluation (ROSE) pr...

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Detalhes bibliográficos

Principais autores:	Dong Fang, Yigeng Huang, Suwen Li, Chen Shi, Junjun Bao, Dandan Du, Lanlan Xuan, Leping Ye, Yanping Zhang, ChengLin Zhu, Hailun Zheng, Zhenwang Shi, Qiao Mei, Huanqin Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-03-01
coleção:	BMC Cancer
Assuntos:	Pancreatic ductal adenocarcinoma Endoscopic ultrasound-guided fine needle aspiration Cytology Artificial intelligence Convolutional neural network
Acesso em linha:	https://doi.org/10.1186/s12885-025-13910-w
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