区域特定校准实现智能手机皮肤学卓越的跨设备可靠性：基于韩国面部皮肤的多设备基准测试
Region-Specific Calibration Achieves Excellent Inter-Device Reliability for Smartphone Dermatology: A Multi-Device Benchmark on Korean Facial Skin
AI总结：
本研究通过965名韩国受试者的面部图像，比较了全局线性颜色校正矩阵和区域特定CCM两种校准方法，发现区域特定校准可将黑色素指数和个体类型角的组内相关系数提升至0.95和0.93，达到优秀可靠性水平。
摘要：
背景：基于智能手机的皮肤学需要跨设备的比色可靠性，且需适用于不同校准方案，但目前缺乏定量多设备基准测试。材料与方法：我们分析了由数码单反相机、消费级平板电脑和消费级智能手机拍摄的965名韩国受试者的匹配面部图像，并以DSLR为参考评估了两种校准方法。这两种方法分别是标准全局线性颜色校正矩阵归一化和按解剖区域训练的区域特定CCM，均在CIELAB色彩空间中进行。结果：线性CCM将跨设备色差减少了61-74%，并将黑色素指数（组内相关系数ICC=0.80）和个体类型角（ITA，ICC=0.78）置于良好可靠性区间。区域特定CCM将这两个指数提升至优秀可靠性区间（MI ICC=0.95，ITA ICC=0.93），其中解剖区域作为最大的预校准方差贡献者（方差分析η²=0.18）超过了源设备（η²=0.12）。结论：因此，消费级设备的皮肤比色法通过标准校准即可实现临床有用的跨设备可靠性，而区域感知校正是最大的剩余改进来源。
英文摘要：
Background: Smartphone-based dermatology requires inter-device colorimetric reliability that holds across calibration regimes, yet quantitative multi-device benchmarks remain scarce. Materials and Methods: We analyzed matched facial images from 965 Korean subjects captured by a digital single-lens reflex (DSLR) camera, a consumer tablet, and a consumer smartphone, and evaluated two calibration methods against the DSLR reference. The methods are standard global linear Color Correction Matrix (CCM) normalization and region-specific CCM trained per anatomical region, both applied in Commission Internationale de l'Eclairage Lab* (CIELAB) space. Results: Linear CCM reduced inter-device color differences by 61-74% and placed both Melanin Index (intraclass correlation coefficient [ICC] = 0.80) and Individual Typology Angle (ITA, ICC = 0.78) in the good reliability band. Region-specific CCM raised both indices into the excellent reliability band (MI ICC = 0.95, ITA ICC = 0.93), with anatomical region exceeding the source device as the largest pre-calibration variance contributor (analysis-of-variance $η^2 = 0.18$ versus 0.12). Conclusion: Consumer-device skin colorimetry therefore achieves clinically useful inter-device reliability using standard calibration, with region-aware calibration the largest remaining source of improvement.
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