| For: | Yang KF, Li SJ, Xu J, Zheng YB. Machine learning prediction model for gray-level co-occurrence matrix features of synchronous liver metastasis in colorectal cancer. World J Gastrointest Surg 2024; 16(6): 1571-1581 [PMID: 38983351 DOI: 10.4240/wjgs.v16.i6.1571] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v16/i6/1571.htm |
| Number | Citing Articles |
| 1 |
Lu Yan, Bo Qu, Yanhong Liu, Liangying Wu. MRI radiomics evaluation of liver-kidney tonifying formula combined with hormone replacement therapy for perimenopausal osteoporosis. Journal of Radiation Research and Applied Sciences 2025; 18(4) doi: 10.1016/j.jrras.2025.101996
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| 2 |
Yassin Rahnama, Homayoun Pishraft-Sabet, Sara Eghbali, Faeze Salahshour, Sina Delazar, Mojtaba Sedaghat, Amir Keshvari, Alireza Kazemeini, Mohammad Reza Keramati, Mohammad Sadegh Fazeli, Behnam Behboudi, Seyed Mohsen Ahmadi-Tafti. Artificial intelligence for the prediction of synchronous and metachronous liver metastasis in colorectal cancer patients: a systematic review and meta-analysis. Abdominal Radiology 2026; 51(9) doi: 10.1007/s00261-026-05433-0
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| 3 |
Md Sadique Hussain, Mokhtar Rejili, Amna Khan, Saud O. Alshammari, Ching Siang Tan, Faouzi Haouala, Sumel Ashique, Qamar A. Alshammari. AI-powered liquid biopsy for early detection of gastrointestinal cancers. Clinica Chimica Acta 2025; 577 doi: 10.1016/j.cca.2025.120484
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| 4 |
Jiaqi Wang, Hongbi Kang, Kexin Li. Research on health monitoring of concrete structure based on G-S-G. Scientific Reports 2025; 15(1) doi: 10.1038/s41598-024-84830-1
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| 5 |
Bingbo Zhang, Bianfang Chai, Guangze Wang, Jiaxing Yang, Noor Izzri Abdul Wahab, Pierluigi Siano. Seismic facies analysis method integrating acoustic impedance features and spectral features. International Conference on Electrical Engineering and Smart Grid (EESG 2025)
2025; doi: 10.1117/12.3094044
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| 6 |
晨曦 冉. Research Advances in Radiomics and Artificial Intelligence for the Prediction and Assessment of Colorectal Cancer Liver Metastasis. Advances in Clinical Medicine 2026; 16(10) doi: 10.12677/acm.2026.16103500
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