基于瘤内及瘤周3 mm超声组学特征的可解释性机器学习模型可较好评估乳腺癌Ki-67的表达分级
彭乾, 洪千尧, 鹿皎, 刘钊, 卓晓英, 王兴田
An interpretable machine learning model based on intratumoral and peritumoral-3 mm ultrasound radiomic features can effectively evaluate the Ki-67 expression level in breast cancer
Qian PENG, Qianyao HONG, Jiao LU, Zhao LIU, Xiaoying ZHUO, Xingtian WANG
分子影像学杂志
.
2025, (12): 1506
-1514
.
DOI: 10.12122/j.issn.1674-4500.2025.12.07
