Bhat Harsha, Kanakatte Aparna, Nayak Rajarama, Gubbi Jayavardhana
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1218-1221. doi: 10.1109/EMBC.2017.8037050.
Difficulties in automation of histology image analysis are caused due to varying stain colors in the histology slides and the interaction of stains. Incorrect stain separation results in incorrect nucleus segmentation. A new hybrid algorithm has been proposed combining de-staining and wedge separation algorithms, which provides better stain separation and maintains color integrity of the input image. The proposed algorithm is tested on 36 histopathological images covering varying tissues and compared with popular methods in the area with excellent results in high nuclei density category.
组织学图像分析自动化存在困难,这是由于组织学切片中染色颜色的变化以及染色剂之间的相互作用所致。染色分离不正确会导致细胞核分割错误。已提出一种新的混合算法,该算法结合了脱色算法和楔形分离算法,能提供更好的染色分离效果,并保持输入图像的颜色完整性。所提出的算法在36张涵盖不同组织的组织病理学图像上进行了测试,并与该领域的常用方法进行了比较,在高细胞核密度类别中取得了优异的结果。