Application value of machine learning models based on CT radiomics for assessing split renal function

Junjie ZOU, Ruidong LI, Hu SONG, Feng WANG, Ning DING, Kongyuan ZHANG

Chinese Journal of Radiological Health ›› 2025, Vol. 34 ›› Issue (1) : 108-113.

PDF(999 KB)
PDF(999 KB)
Chinese Journal of Radiological Health ›› 2025, Vol. 34 ›› Issue (1) : 108-113. DOI: 10.13491/j.issn.1004-714X.2025.01.018
Original Articles

Application value of machine learning models based on CT radiomics for assessing split renal function

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

QR code of this article

Cite this article

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2025, 34(1): 108-113 https://doi.org/10.13491/j.issn.1004-714X.2025.01.018

References

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(999 KB)

Accesses

Citation

Detail

Sections
Recommended

/