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Updated: Jul 26, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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多参数MRI和转移学习用于预测乳房保护手术的积极利:一个多中心研究

Xue Zhao1,2,3, Jing-Wen Bai1,3, Sen Jiang4

  • 1Fujian Key Laboratory of Precision Diagnosis and Treatment in Breast Cancer & Xiamen Key Laboratory of Endocrine-Related Cancer Precision Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.

International journal of surgery (London, England)
|February 4, 2025
PubMed
概括

通过将多参数MRI (mpMRI) 与放射学和转移学习 (TL) 结合起来,可以提高预测乳房保护手术 (BCS) 的积极外科边缘. 这种方法可以提高跨不同患者数据集的预测准确性.

关键词:
乳腺保护手术是什么?多参数磁共振成像技术这是外科手术的边缘.转移学习转移学习

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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

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