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Development of a novel combined nomogram model integrating deep learning-pathomics, radiomics and immunoscore to predict postoperative outcome of colorectal cancer lung metastasis patients

Crossref DOI link: https://doi.org/10.1186/s13045-022-01225-3

Published Online: 2022-01-24

Published Print: 2022-12

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

Authors

Wang, Renjie

Dai, Weixing

Gong, Jing

Huang, Mingzhu

Hu, Tingdan

Li, Hang

Lin, Kailin

Tan, Cong

Hu, Hong

Tong, Tong

Cai, Guoxiang https://orcid.org/0000-0002-4952-4214
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (No. 81871958, 8210112506)

Shanghai Minhang Science and Technology Commission (19140902100)
License Information

Text and Data Mining valid from 2022-01-24

Version of Record valid from 2022-01-24
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Article History

Received: 1 December 2021

Accepted: 4 January 2022

First Online: 24 January 2022

Declarations

:

: This study was approved by the Shanghai Cancer Center of Fudan University Ethics Committee. Written informed consent was obtained prior to the acquisition of tissue from all patients.

: Not applicable.

: The authors declare that they have no competing interests.

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