Xu Hongming, Lu Cheng, Mandal Mrinal
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:3869-72. doi: 10.1109/EMBC.2015.7319238.
In the diagnosis of skin melanoma by analyzing histopathological images, the epidermis and epidermis-dermis junctional areas are regions of interest as they provide the most important histologic diagnosis features. This paper presents an automated technique for segmenting epidermis and dermis regions from whole slide skin histopathological images. The proposed technique first performs epidermis segmentation using a thresholding and thickness measurement based method. The dermis area is then segmented based on a predefined depth of segmentation from the epidermis outer boundary. Experimental results on 66 different skin images show that the proposed technique can robustly segment regions of interest as desired.
在通过分析组织病理学图像诊断皮肤黑色素瘤时，表皮和表皮 - 真皮交界区域是感兴趣的区域，因为它们提供了最重要的组织学诊断特征。本文提出了一种从全切片皮肤组织病理学图像中分割表皮和真皮区域的自动化技术。所提出的技术首先使用基于阈值和厚度测量的方法进行表皮分割。然后根据从表皮外边界预定义的分割深度来分割真皮区域。对66张不同皮肤图像的实验结果表明，所提出的技术能够按要求稳健地分割感兴趣的区域。
