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Updated: Jul 11, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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视力变压器为基础的多标签存活预测,在放射治疗后耳鼻癌的生存预测

Meixu Chen1, Kai Wang1, Jing Wang1

  • 1Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas.

International journal of radiation oncology, biology, physics
|November 8, 2023
PubMed
概括

一个基于视觉变压器 (ViT) 的新模型使用多式联络数据预测了多种口腔癌 (OPC) 的结果. 这种先进的预后工具通过优于单标签模型来改善个性化放射治疗.

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Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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