Development and validation of the MRI-based deep learning classifier for distinguishing perianal fistulizing Crohn’s disease from cryptoglandular fistula: a multicenter cohort study
Authors
Bolin Yang (ORCID: https://orcid.org/0000-0002-2474-4085)
Ke Deng (ORCID: https://orcid.org/0000-0003-1308-0399)
Development and validation of the MRI-based deep learning classifier for distinguishing perianal fistulizing Crohn’s disease from cryptoglandular fistula: a multicenter cohort study
Bolin Yang, Ke Deng, Xiaochun Meng, Jiaying Yao et al.
Citations
5 citations
Journal
EClinicalMedicine
Topics
Anorectal Disease Treatments and Outcomes
Field-Weighted Citation Impact (FWCI)
2.86
article
Development and validation of the MRI-based deep learning classifier for distinguishing perianal fistulizing Crohn’s disease from cryptoglandular fistula: a multicenter cohort study
Bolin Yang, Ke Deng, Xiaochun Meng, Jiaying Yao, Wenjun Li, Juan Li, Tao Chen, Yuhuan Lin, Jun Luo, Donglin Ren, Hongcheng Lin, Lanlan Li, Heng Zhang
article en
5 citations
Abstract
No abstract available for this paper.
Publication Tag
EClinicalMedicineVol. 78
Institutions
Nanjing University of Chinese Medicine (CN), Sun Yat-sen University (CN), Sixth Affiliated Hospital of Sun Yat-sen University (CN), Panyu District Central Hospital (CN), Fuzhou University (CN)
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Development and validation of the MRI-based deep learning classifier for distinguishing perianal fistulizing Crohn’s disease from cryptoglandular fistula: a multicenter cohort study — Bolin Yang, Ke Deng, et al. · EClinicalMedicine (2024) | TGRS Research Map | TGRS