Multiparametric <scp>MRI</scp>‐Based Deep Learning Radiomics Model for Assessing 5‐Year Recurrence Risk in Non‐Muscle Invasive Bladder Cancer

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Publication Details

Journal
Journal of Magnetic Resonance Imaging
Published
2024-08-21
DOI
https://doi.org/10.1002/jmri.29574
Citations
8
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
4.58

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article

Multiparametric MRI‐Based Deep Learning Radiomics Model for Assessing 5‐Year Recurrence Risk in Non‐Muscle Invasive Bladder Cancer

Qian Cai, Yiping Huang, Hongbing Lu, Jie Wei et al.
8 citations
Journal of Magnetic Resonance Imaging
Bladder and Urothelial Cancer Treatments
4.58
article

Multiparametric MRI‐Based Deep Learning Radiomics Model for Assessing 5‐Year Recurrence Risk in Non‐Muscle Invasive Bladder Cancer

Qian Cai, Yiping Huang, Hongbing Lu, Jie Wei, Xiaopan Xu, Haolin Huang, Joshua Kaggie, Huanjun Wang, Yan Guo, Lijuan Wang, Peng Yang
article en
8 citations

Abstract

No abstract available for this paper.
Journal of Magnetic Resonance ImagingVol. 61(3)
Sun Yat-sen University (CN), University of Cambridge (GB), ShanghaiTech University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Xi'an Jiaotong University (CN), Air Force Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, National Key Research and Development Program of China
Openalex Percentile: Top 5%
Bladder and Urothelial Cancer Treatments
4.58
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