ISO-690 (author-date, English)

GUO Y, GONG B, LI Y, MO P, CHEN Y, FAN Q, SUN Q, MIAO L, LI Y, LIU Y, TAN W, YANG L und ZHENG C, 2025. Non-invasive prediction of NSCLC immunotherapy efficacy and tumor microenvironment through unsupervised machine learning-driven CT radiomic subtypes: a multi-cohort study. International journal of surgery (London, England). 1 Oktober 2025. Vol. 111, no. 10, p. 6592-6592. DOI 10.1097/JS9.0000000000002839.

Elsevier - Harvard (with titles)

Guo Y, Gong B, Li Y, Mo P, Chen Y, Fan Q, Sun Q, Miao L, Li Y, Liu Y, Tan W, Yang L, Zheng C, 2025. Non-invasive prediction of NSCLC immunotherapy efficacy and tumor microenvironment through unsupervised machine learning-driven CT radiomic subtypes: a multi-cohort study. International journal of surgery (London, England) 111, 6592-6592. https://doi.org/10.1097/JS9.0000000000002839

American Psychological Association 7th edition

Guo Y, Gong B, Li Y, Mo P, Chen Y, Fan Q, Sun Q, Miao L, Li Y, Liu Y, Tan W, Yang L, & Zheng C. (2025). Non-invasive prediction of NSCLC immunotherapy efficacy and tumor microenvironment through unsupervised machine learning-driven CT radiomic subtypes: a multi-cohort study. International Journal of Surgery (London, England), 111(10), 6592-6592. https://doi.org/10.1097/JS9.0000000000002839

Springer - Basic (author-date)

Guo Y, Gong B, Li Y, Mo P, Chen Y, Fan Q, Sun Q, Miao L, Li Y, Liu Y, Tan W, Yang L, Zheng C (2025) Non-invasive prediction of NSCLC immunotherapy efficacy and tumor microenvironment through unsupervised machine learning-driven CT radiomic subtypes: a multi-cohort study.. International journal of surgery (London, England) 111:6592-6592. https://doi.org/10.1097/JS9.0000000000002839

Juristische Zitierweise (Stüber) (Deutsch)

Guo Y/ Gong B/ Li Y/ Mo P/ Chen Y/ Fan Q/ Sun Q/ Miao L/ Li Y/ Liu Y/ Tan W/ Yang L/ Zheng C, Non-invasive prediction of NSCLC immunotherapy efficacy and tumor microenvironment through unsupervised machine learning-driven CT radiomic subtypes: a multi-cohort study., International journal of surgery (London, England) 2025, 6592-6592.

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