CT-based machine learning radiomics predicts CCR5 expression level and survival in ovarian cancer

• Главные авторы: Sheng Wan (Автор), Tianfan Zhou (Автор), Ronghua Che (Автор), Ying Li (Автор), Jing Peng (Автор), Yuelin Wu (Автор), Shengyi Gu (Автор), Jiejun Cheng (Автор), Xiaolin Hua (Автор)
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• Опубликовано: BMC, 2023-01-01T00:00:00Z.
• Предметы: article
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Abstract Objective We aimed to evaluate the prognostic value of C-C motif chemokine receptor type 5 (CCR5) expression level for patients with ovarian cancer and to establish a radiomics model that can predict CCR5 expression level using The Cancer Imaging Archive (TCIA) and The Cancer Genome Atlas (...