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Updated: Jan 14, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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皮肤损伤图像分类与以树为基础的合奏:基准测试随机森林和梯度增强.

Sanman Pattnaik1, Saphalya Pattnaik2, Mohamed Khalid2

  • 1Computer Science and Engineering, Manipal Institute of Technology, Manipal, IND.

Cureus
|October 20, 2025
PubMed
概括

像渐变增强决策树这样的轻量级机器学习模型在分类皮肤癌方面显示出高准确性,为皮肤病诊断提供了更快,更易于解释的深度学习替代方案.

关键词:
计算机辅助诊断是指计算机辅助的诊断.深度学习人工智能 人工智能皮肤显微镜 (dermoscopy) 是一种可以检查皮肤的方法.诊断的准确性 诊断的准确性梯度增强可以提高梯度.可以解释的解释性.随机的森林随机的森林皮肤病变 皮肤病变传统的机器学习.

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