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Updated: Aug 1, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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基因表达基因乳腺癌扩散得分的预测从基因病理学全幻灯片图像使用深度学习

Andreas Ekholm1, Yinxi Wang1, Johan Vallon-Christersson2

  • 1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, 171 77, Sweden.

BMC cancer
|December 11, 2024
PubMed
概括

深度学习模型可以从整个幻灯片图像中预测乳腺癌的扩散特征,为个性化治疗提供预后信息. 这种方法有助于评估复发风险并指导临床决策.

关键词:
人工智能的人工智能是人工智能.乳腺癌是什么? 乳腺癌是什么?计算病理学计算病理学基因表达 基因表达 基因表达核武器的扩散

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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...