Feasibility and effectiveness of automatic deep learning network and radiomics models for differentiating tumor stroma ratio in pancreatic ductal adenocarcinoma

Abstract Objective This study aims to compare the feasibility and effectiveness of automatic deep learning network and radiomics models in differentiating low tumor stroma ratio (TSR) from high TSR in pancreatic ductal adenocarcinoma (PDAC). Methods A retrospective analysis was conducted on a total...

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Principais autores:	Hongfan Liao, Jiang Yuan, Chunhua Liu, Jiao Zhang, Yaying Yang, Hongwei Liang, Song Jiang, Shanxiong Chen, Yongmei Li, Yanbing Liu
格式:	Artigo
語言:	Inglês
出版:	SpringerOpen 2023-12-01
叢編:	Insights into Imaging
主題:	Machine learning Radiomics Deep learning Tumor stroma ratio Pancreatic ductal adenocarcinoma
在線閱讀:	https://doi.org/10.1186/s13244-023-01553-z
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