PDF(16560 KB)
基于生境分析构建可解释性多重机器学习模型预测胸腺上皮性肿瘤风险分层
叶子怡, 胡晨曦, 孔帅航, 胡美萍, 楼智骞, 韩静, 冯长锋, 沈起钧
临床放射学杂志 ›› 2026, Vol. 45 ›› Issue (7) : 1161-1169.
PDF(16560 KB)
PDF(16560 KB)
基于生境分析构建可解释性多重机器学习模型预测胸腺上皮性肿瘤风险分层
({{custom_author.role_cn}}), {{javascript:window.custom_author_cn_index++;}}Interpretable Multiple Machine Learning Models Based on Radiomic Habitat Analysis for Risk Stratification in Thymic Epithelial Tumors
({{custom_author.role_en}}), {{javascript:window.custom_author_en_index++;}}| {{custom_ref.label}} |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
/
| 〈 |
|
〉 |
