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Skin Cancer01:30

Skin Cancer

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Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
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Development of the multispectral UV polarization reflectance imaging system (MUPRIS) for in situ monitoring of the UV protection efficacy of sunscreen on human skin.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·2019
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基于皮肤贴片的化品完成评估技术由深度神经网络进行评估.

Ken Nishino1

  • 1Makeup Products Research, Kao Corporation, Odawara, Kanagawa, Japan.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
|February 1, 2024
PubMed
概括

深度神经网络 (DNN) 使用皮肤贴片分析了化品皮肤纹理. 这种机器学习方法准确地评估了化品的完成,有助于视觉科学和化品开发.

科学领域:

  • 计算机视觉 计算机视觉
  • 化品科学 化品科学
  • 机器学习 机器学习

背景情况:

  • 皮肤的外观显著影响人们的感知.
  • 对化品的客观评价对于产品开发至关重要.
  • 机器学习,特别是深度神经网络 (DNN),为分析复杂的皮肤纹理提供了潜力.

研究的目的:

  • 应用DNN以准确分析和评估化品皮肤纹理.
  • 开发客观的方法来评估化完成.
  • 探索皮肤贴片数据集在用于化品应用的DNN培训中的实用性.

主要方法:

  • 从面部图像中提取皮肤贴片数据集,用于DNN模型训练.
  • 训练有素的DNN使用分类 (皮肤属性) 和回归 (专家视觉评估) 任务.
  • 使用皮肤贴片来保留纹理细节,并使面部可视化.

主要成果:

  • 开发了基于皮肤贴片的分类器,用于年龄,化品的存在,配方类型和应用时间.
  • 在专家视觉评估的回归任务中实现了高预测准确度.
  • 证明有效地评估与视觉外观一致的实际化条件.
关键词:
在美国,CNN是CNN.DNN DNN 在线化品 化品 化品 是一个皮肤图像分析 皮肤图像分析皮肤贴片 皮肤贴片

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结论:

  • 在皮肤贴片上训练的DNN提供了一种有效的方法来评估化完成.
  • 这种方法在视觉科学和化品研发领域有潜在的应用.
  • 未来的研究可以专注于各种皮肤状况和个性化化品.