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自动严重程度分级使用一个小和不平衡的数据集的低分辨率图像

Rémi Bernhard1, Arnaud Bletterer2, Maëlle Le Caro2

  • 1QuantifiCare, 06410, Biot, France. rbernhard@quantificare.com.

Dermatology and therapy
|October 8, 2024
PubMed
概括

一个新的深度学习模型使用低分辨率图像和最小的数据准确地评估的严重程度. 这种方法降低了开发自动化分级系统的成本和精力,为患者和从业者提供了标准化的工具.

关键词:
自动的严重程度分级.数据稀缺性 数据稀缺性在低分辨率的低分辨率.机器学习 机器学习标准化的方法标准化方法.

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