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Updated: Jun 9, 2025

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改善癌症检测中的皮肤颜色多样性:深度学习方法

Eman Rezk1, Mohamed Eltorki2, Wael El-Dakhakhni1

  • 1School of Computational Science and Engineering, McMaster University, Hamilton, ON, Canada.

JMIR dermatology
|October 30, 2024
PubMed
概括

深度学习产生现实的较暗的皮肤病变图像,改善了有色人种的人工智能诊断. 这提高了皮肤病学数据的多样性和皮肤病的诊断准确性.

关键词:
算法算法是一种算法.人工智能的人工智能是人工智能.癌症 癌症 癌症 癌症 癌症是由计算机生成的.数据增强数据增强深度学习是一种深度学习.皮肤学 皮肤学诊断 诊断 诊断 诊断 诊断 诊断诊断 诊断 诊断 的 诊断 诊断 诊断 诊断 的 诊断数字健康数字健康可以概括的概括性.生成的图像图像生成.图像生成 图像生成影像成像技术 影像成像技术伤口的伤口是一个伤口.机器学习是机器学习.神经网络的神经网络的神经网络皮肤 皮肤 皮肤皮肤癌的诊断 皮肤癌的诊断皮肤色调多样性的多样性.

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