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Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer
REVIEW | Updated:2025-12-13
    • Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer

    • Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer

    • 在对抗癌症的斗争中,放射组学和放射基因组学正在成为强大的工具。专家研究人员建立了一个基于人工智能的成像系统,可以准确区分良性和恶性卵巢肿瘤,预测存活率,并为精准医学研究开辟了一个新的方向。
    • Military Medical Research   2025年12卷第9期 页码:1369-1386
    • DOI:10.1186/s40779-024-00580-1    

      中图分类号:
    • 收稿:2023-10-18

      录用:2024-11-07

      网络首发:2024-12-14

      纸质出版:2025-09

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  • Song Zeng, Xin-Lu Wang, Hua Yang. Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer[J]. Military Medical Research, 2025,12(9):1369-1386. DOI: 10.1186/s40779-024-00580-1.

    Song Zeng, Xin-Lu Wang, Hua Yang. Radiomics and radiogenomics: extracting more information from medical images for the diagnosis and prognostic prediction of ovarian cancer[J]. Military Medical Research, 2025, 12(9): 1369-1386. DOI: 10.1186/s40779-024-00580-1.

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相关作者

Hua Yang
Yu-Qi Yang
Jing-Jing Da
Sheng Nie
Jing Yuan
Bi-Cheng Liu
Hua-Feng Liu
Qiong-Qiong Yang

相关机构

Department of Critical Care Medicine, Maoming People’s Hospital
Department of Nephrology, Guizhou Provincial People’s Hospital
National Clinical Research Center for Kidney Disease, State Laboratory of Organ Failure Research, Division of Nephrology, Nanfang Hospital, Southern Medical University
Institute of Nephrology, Zhongda Hospital, Southeast University School of Medicine
Key Laboratory of Prevention and Management of Chronic Kidney Disease of Zhanjiang City, Institute of Nephrology, Affiliated Hospital of Guangdong Medical University
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