CIL:27870

One of the principal challenges in counting or segmenting nuclei is dealing with clustered nuclei. To help assess algorithms' performance in this regard, this synthetic image set consists of five subsets with increasing degree of clustering. Five subsets of 20 images each are provided. Each image contains 300 objects, but the objects overlap and cluster with overlap probability ranging from 0.0 to 0.6, and can be found with CIL 27833, 27853, 28754, 28734, and 28714, respectively. This image set has 0.15 probability overlap. The images were generated with the SIMCEP (http://www.cs.tut.fi/sgn/csb/simcep/tool.html) simulating platform for fluorescent cell population images (Lehmussola et al., IEEE T. Med. Imaging, 2007 and Lehmussola et al., P. IEEE, 2008). Ground truth for foreground/background segmentation are available as binary images as the second image in the tiff image stack. Recommended citation We used the Synthetic 1 image set (Ruusuvuori et al., in Proc. of the 16th European Signal Processing Conference (EUSIPCO-2008), 2008), available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc).细胞核计数与分割领域的核心挑战之一，在于如何处理成团聚集的细胞核。为助力相关算法性能的评估，本合成图像集包含五个子集，各子集的细胞核聚集程度依次递增。本次提供的五个子集各含20张图像。每张图像均包含300个目标对象，目标间存在重叠与聚集现象，重叠概率区间为0.0至0.6；五个子集分别对应CIL编号27833、27853、28754、28734与28714。本图像集的目标重叠概率为0.15。本图像集采用SIMCEP（http://www.cs.tut.fi/sgn/csb/simcep/tool.html）荧光细胞群体图像模拟平台生成，相关文献引用为Lehmussola等人发表于《IEEE医学成像汇刊》2007年的研究，以及Lehmussola等人发表于《IEEE汇刊》2008年的研究。前景/背景分割的真值标注以二值图像形式提供，作为TIFF图像堆栈中的第二张图像。推荐引用说明：本研究使用的Synthetic 1图像集相关文献为Ruusuvuori等人于2008年第16届欧洲信号处理大会（EUSIPCO-2008）发表的论文，该数据集可从Broad生物图像基准数据集集合（www.broad.mit.edu/bbbc）获取。