Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre study

National Natural Science Foundation of China, the Science and Technology Planning Project of Guangdong Province, the National Key Research and Development Programme of China, the Guangdong Provincial Clinical Research Centre for Urological Diseases, and the Science and Technology Projects in Guangzhou.

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Publication Details

Journal
EClinicalMedicine
Published
2025-02-26
DOI
https://doi.org/10.1016/j.eclinm.2025.103125
Citations
5
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
10.03
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article

Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre study

Haoxuan Wang, Fan Jiang, Shuting Huang, Mengyi Zhu et al.
5 citations
EClinicalMedicine
Bladder and Urothelial Cancer Treatments
10.03
article

Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre study

Haoxuan Wang, Fan Jiang, Shuting Huang, Mengyi Zhu, Runnan Shen, Ye Xie, Guibin Hong, Hong Zeng, Ye Liu, Yun Wang, Rui Chen, Xun Xu, Tianxin Lin, Yun Luo, Zhen Lin, Shaoxu Wu, Hongkun Yang
article en
5 citations

Abstract

National Natural Science Foundation of China, the Science and Technology Planning Project of Guangdong Province, the National Key Research and Development Programme of China, the Guangdong Provincial Clinical Research Centre for Urological Diseases, and the Science and Technology Projects in Guangzhou.

EClinicalMedicineVol. 81
Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), Fifth Affiliated Hospital of Sun Yat-sen University (CN), Zhujiang Hospital (CN), Third Affiliated Hospital of Sun Yat-sen University (CN), Guangdong Provincial Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 2%
Bladder and Urothelial Cancer Treatments
10.03
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Deep learning-based model for prediction of early recurrence and therapy response on whole slide images in non-muscle-invasive bladder cancer: a retrospective, multicentre study — Haoxuan Wang, Fan Jiang, et al. · EClinicalMedicine (2025) | TGRS Research Map | TGRS