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Updated: Jul 28, 2026

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

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临床癌症检测中的深度学习应用:对实施挑战和解决方案的审查

Isaiah Z Yao1, Min Dong1, William Y K Hwang2,3

  • 1Hwa Chong Institution, Junior College Section, Singapore.

Mayo Clinic proceedings. Digital health
|August 18, 2025
PubMed
概括

深度学习 (DL) 显著提高了癌症检测和治疗结果. 解决数据质量和可解释性等挑战是其临床整合和推进个性化瘤学的关键.

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Cancer Survival Analysis01:21

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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...