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Deep Learning-Based Detect-Then-Track Pipeline for Treatment Outcome Assessments in Immunotherapy-Treated Liver Cancer

Published Online: 2024-05-13

Authors

Zhou, Jie

Xia, Yujia

Xun, Xiaolei

Yu, Zhangsheng https://orcid.org/0000-0002-8189-5330
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (12171318)

Science and Technology Innovation Plan Of Shanghai Science and Technology Commission (21ZR1436300)

Shanghai Jiao Tong University STAR Grant (20190102)

Medical Engineering Cross Fund of Shanghai Jiao Tong University (YG2023ZD21)

Collaboration of SJTU-Beigene (21H010104287)
License Information

Text and Data Mining valid from 2024-05-13

Version of Record valid from 2024-05-13
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Article History

Received: 17 December 2023

Revised: 30 March 2024

Accepted: 26 April 2024

First Online: 13 May 2024

Declarations

:

: The study data passed the ethics review (Application No. I2021173I) and were approved by the Human Genetic Resource Administration of China (Approval No. [2021] GH5565). All participants provided informed consent.

: The authors declare no competing interests.

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