CT radiomics based on different machine learning models for classifying gross tumor volume and normal liver tissue in hepatocellular carcinoma.

Journal Information

Full Title: Cancer Imaging

Abbreviation: Cancer Imaging

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Diagnostic Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateAccording to the ethical guide-lines of the Helsinki Declaration and was approved by the institutional review board of The Affiliated Hospital of Southwest Medical University and Jiangxi Cancer Hospital. Written informed consents were obtained from all patients prior to treatment. Consent for publicationConsent for publication is not applicable in this study, because there is not any individual person’s data. Competing interestsThere are no conflicts of interest to declare. Competing interests There are no conflicts of interest to declare."

Evidence found in paper:

"Funding We acknowledge funding from The Open Fund for Scientific Research of Jiangxi Cancer Hospital (project number:2021J15), The Sichuan Provincial Medical Research Project Plan(project number:S21004),and The Gulin County People’s Hospital-The Affiliated Hospital of Southwest Medical University Science and Technology Strategic Cooperation Project (project number: 2022GLXNYDFY05)."

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Paper is freely available to read
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Last Updated: Aug 05, 2025