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One novel transfer learning-based CLIP model combined with self-attention mechanism for differentiating the tumor-stroma ratio in pancreatic ductal adenocarcinoma

Crossref DOI link: https://doi.org/10.1007/s11547-024-01902-y

Published Online: 2024-10-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liao, Hongfan

Yuan, Jiang

Liu, Chunhua

Zhang, Jiao

Yang, Yaying

Liang, Hongwei

Liu, Haotian

Chen, Shanxiong

Li, Yongmei https://orcid.org/0000-0001-5558-9738
Funding

Funding for this research was provided by:

Key Project of Technological Innovation and Application Development of Chongqing Science and Technology Bureau (CSTC2021 jscx-gksb-N0008)
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Article History

Received: 14 July 2024

Accepted: 5 October 2024

First Online: 16 October 2024

Declarations

:

: The authors declare that they have no competing interests.

: This study and all its protocols were approved by the ethics committee of the first affiliated hospital of Chongqing medical university (approval number: no. 2022–63). This article adheres to Strengthening the Reporting of Cohort Studies in Surgery (STROCSS) guidelines.

: Written informed consent was not required for this study due to the retrospective nature.

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