For: | Zhu X, Ye DD, Wang JH, Li J, Liu SW. Diagnostic performance of texture analysis in the differential diagnosis of perianal fistulising Crohn’s disease and glandular anal fistula. World J Gastrointest Surg 2023; 15(5): 882-891 [PMID: PMC10277959 DOI: 10.4240/wjgs.v15.i5.882] |
---|---|
URL: | https://www.wjgnet.com/1948-9366/full/v15/i5/882.htm |
Number | Citing Articles |
1 |
Lichao Qiao, Bolin Yang. Editorial: Development and Validation of a Multimodal Machine Learning Model for Diagnosing and Assessing Risk of Crohn's Disease in Patients With Perianal Fistulae: Authors' Reply. Alimentary Pharmacology & Therapeutics 2025; 61(5): 905 doi: 10.1111/apt.18516
|
2 |
Yu Xiang, Fan Yang, Fen Yuan, Yuxia Gong, Jing Li, Xiaoxiao Wang, Xueliang Sun, Heng Zhang, Can Wang, Zhenxing Zhu, Qi Chen, Hongjin Chen, Weiming Zhu, Lichao Qiao, Bolin Yang. Development and Validation of a Multimodal Machine Learning Model for Diagnosing and Assessing Risk of Crohn's Disease in Patients With Perianal Fistula. Alimentary Pharmacology & Therapeutics 2025; 61(5): 824 doi: 10.1111/apt.18455
|
3 |
Heng Zhang, Wenru Li, Tao Chen, Ke Deng, Bolin Yang, Jingen Luo, Jiaying Yao, Yuhuan Lin, Juan Li, Xiaochun Meng, Hongcheng Lin, Donglin Ren, Lanlan Li. Development and validation of the MRI-based deep learning classifier for distinguishing perianal fistulizing Crohn’s disease from cryptoglandular fistula: a multicenter cohort study. eClinicalMedicine 2024; 78: 102940 doi: 10.1016/j.eclinm.2024.102940
|