Quantification of structures of skin lesion and calibration of dermoscopy images for automated melanoma diagnosis

我主要研究了以下两个主题，以使我们的基于互联网的黑色素瘤筛查系统适合实际使用。(1)皮肤镜结构的量化(2)皮肤镜图像自动色彩校准的发展。对于这两个主题，我都成功地实现了提案中规定的目标。(1)成功地建立了一个识别系统，该系统在识别ABCD规则和7点检查表中定义的15个皮肤镜结构方面与皮肤科专家没有统计学差异。(2)在不需要任何特殊设备的情况下，实现了皮肤镜图像在亮度、色调和饱和度方面的等效色彩校准性能。

I had investigated mainly following two themes for making our Internet-based melanoma screening system fit for practical use. (1) Quantification of dermoscopic structures (2) Development of automated color calibration for dermoscopy images. For both themes, I had successfully achieved the objectives set out in the proposal. (1) Succeeded to build a recognition system that has statistically no difference with expert dermatologists in recognizing a total of 15 dermoscopic structures defined in ABCD rule and 7-point checklist. (2) Achieved equivalent color calibration performance for dermoscopy images in luminance, hue and saturation without any special devices.