Value of a machine learning model based on primary tumor and peritumoral radiomics features for predicting lymphovascular invasion in gastric cancer

GE Dongwei, MU Zhengang, HAN Liye, ZONG Ruilong

INTERNATIONAL JOURNAL OF MEDICAL RADIOLOGY ›› 2025, Vol. 48 ›› Issue (2) : 139-145.

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INTERNATIONAL JOURNAL OF MEDICAL RADIOLOGY ›› 2025, Vol. 48 ›› Issue (2) : 139-145. DOI: 10.19300/j.2025.L21607
ORIGINAL RESEARCH

Value of a machine learning model based on primary tumor and peritumoral radiomics features for predicting lymphovascular invasion in gastric cancer

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2025, 48(2): 139-145 https://doi.org/10.19300/j.2025.L21607

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