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，在于如何处理聚集的细胞核。为助力评估相关算法的性能，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。本数据集共提供五个子集，每个子集包含20幅图像，每张图像均包含300个目标对象，但这些目标会发生重叠与聚集，重叠概率范围介于0.0至0.6之间，五个子集分别对应CIL 27833、27853、28754、28734与28714编号。本图像集的重叠概率为0.15。
本图像集通过用于荧光细胞群体成像的SIMCEP（http://www.cs.tut.fi/sgn/csb/simcep/tool.html）仿真平台生成，相关研究文献参见Lehmussola等人于2007年发表于《IEEE Transactions on Medical Imaging》的成果，以及Lehmussola等人于2008年发表于《Proceedings of the IEEE》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图像栈中的第二幅图像。
推荐引用格式：使用本合成图像集1（Synthetic 1）时，请引用Ruusuvuori等人于2008年第16届欧洲信号处理大会（EUSIPCO-2008）发表的研究，该数据集可从Broad生物图像基准数据集库（www.broad.mit.edu/bbbc）获取。