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Supplemental Material - Unsupervised machine learning cluster analysis to identification EVAR patients clinical phenotypes based on radiomics

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DataCite Commons2024-06-22 更新2024-07-13 收录
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https://sage.figshare.com/articles/dataset/Supplemental_Material_-_Unsupervised_machine_learning_cluster_analysis_to_identification_EVAR_patients_clinical_phenotypes_based_on_radiomics/26063287/1
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资源简介:
Supplemental Material for Unsupervised machine learning cluster analysis to identification EVAR patients clinical phenotypes based on radiomics by Yonggang Wang, Min Zhou, Yong Ding, Xu Li, Tianchen Xie, Zhenyu Zhou, Weiguo Fu, and Zhenyu Shi in Vascular.

本研究补充材料对应发表于《血管(Vascular)》期刊、由王勇刚、周敏、丁勇、李旭、谢天辰、周振宇、傅卫国、石振宇共同完成的题为《基于放射组学(radiomics)的无监督机器学习聚类分析识别EVAR(Endovascular Aneurysm Repair)患者临床表型》的研究工作。
提供机构:
SAGE Journals
创建时间:
2024-06-19
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