Lu Cheng, Mandal Mrinal
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:5546-9. doi: 10.1109/EMBC.2014.6944883.
In order to develop a computer-aided diagnosis system for histopathological skin cancer diagnosis, segmentation of the epidermis area is the very first and crucial step. An improved computer-aided epidermis segmentation technique for the whole slide skin histopathological image is proposed in this paper. The proposed technique first obtains an initial segmentation result with the help of global thresholding and shape analysis. A template matching method, with adaptive template intensity value, is then applied. Finally, a threshold is calculated based on the probability density function of the processed image after template matching. The threshold is then used to obtain the final segmentation result. Experimental results show that the proposed technique overcomes the limitation of the existing technique and provides a superior performance with sensitivity at 97.99%, and precision at 96.00%.
为了开发用于组织病理学皮肤癌诊断的计算机辅助诊断系统，表皮区域的分割是首要且关键的步骤。本文提出了一种针对全切片皮肤组织病理学图像的改进型计算机辅助表皮分割技术。所提出的技术首先借助全局阈值处理和形状分析获得初始分割结果。然后应用一种具有自适应模板强度值的模板匹配方法。最后，根据模板匹配后处理图像的概率密度函数计算出一个阈值。该阈值随后用于获得最终的分割结果。实验结果表明，所提出的技术克服了现有技术的局限性，具有卓越的性能，灵敏度为97.99%，精度为96.00%。
Zotero 插件