Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer

Authors

Fangmin Shen (ORCID: https://orcid.org/0009-0006-4323-807X)
Feifei Feng
Mingcong Luo (ORCID: https://orcid.org/0000-0001-5808-935X)
Pu‐Yeh Wu (ORCID: https://orcid.org/0000-0002-9216-025X)
Jin‐Xiong She (ORCID: https://orcid.org/0000-0002-0966-6381)
Xingfa Chen
Dechun Zheng (ORCID: https://orcid.org/0000-0001-8768-1627)
Jun Sun (ORCID: https://orcid.org/0000-0001-7369-7871)

Institutions

Fujian Medical University (CN)
Union Hospital (CN)

Publication Details

Journal: BMC Medical Imaging
Published: 2025-05-19
DOI: https://doi.org/10.1186/s12880-025-01692-3
Citations: 3
Primary Topic: Radiomics and Machine Learning in Medical Imaging
Type: article
Field-Weighted Citation Impact: 4.08

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article

Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer

Fangmin Shen, Feifei Feng, Mingcong Luo, Pu‐Yeh Wu et al.

May 19, 2025

3 citations

BMC Medical Imaging

Radiomics and Machine Learning in Medical Imaging

4.08

article

Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer

Fangmin Shen, Feifei Feng, Mingcong Luo, Pu‐Yeh Wu, Jin‐Xiong She, Xingfa Chen, Dechun Zheng, Jun Sun

May 19, 2025article en

3 citations

Abstract

No abstract available for this paper.

BMC Medical ImagingVol. 25(1)

Fujian Medical University (CN), Union Hospital (CN)

Good health and well-being

Openalex Percentile: Top 6%

Radiomics and Machine Learning in Medical Imaging

4.08

DOI Open Access PDF OpenAlex

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