WBC Image Dataset 1

This is two datasets of white blood cell (WBC) images used for ¡°Fast and Robust Segmentation of White Blood Cell Images by Self-supervised Learning¡±, which can be used to evaluate cell image segmentation methods. These two datasets are significantly different from each other in terms of the image color, cell shape, background, etc., which can better evaluate the robustness of WBC segmentation approach. The ground truth segmentation results are manually sketched by domain experts, where the nuclei, cytoplasms and background including red blood cells are marked in white, gray and black respectively. We also submitted the segmentation results by our approach, where the whole WBC region are marked in white and the others are marked in black. Dataset 1 was obtained from Jiangxi Tecom Science Corporation, China. It contains three hundred 120¡Á120 images of WBCs and their color depth is 24 bits. The images were taken by a Motic Moticam Pro 252A optical microscope camera with a N800-D motorized auto-focus microscope, and the blood smears were processed with a newly-developed hematology reagent for rapid WBC staining. The overall background of most of the images of Dataset 1 looks yellow.

本数据集包含两组白细胞（white blood cell, WBC）图像数据集，用于《通过自监督学习实现白细胞图像的快速鲁棒分割》（Fast and Robust Segmentation of White Blood Cell Images by Self-supervised Learning）相关研究，可用于评估细胞图像分割方法。这两组数据集在图像色彩、细胞形态、背景等方面存在显著差异，能够更全面地评估白细胞分割方法的鲁棒性。其真值（ground truth）分割结果均由领域专家手动标注：细胞核、细胞质以及包含红细胞在内的背景分别以白色、灰色和黑色标记。我们还提交了采用本方法得到的分割结果：整个白细胞区域以白色标记，其余区域以黑色标记。数据集1采集自中国Jiangxi Tecom Science Corporation，包含300张分辨率为120×120的白细胞图像，色彩深度为24位。这些图像由搭载N800-D电动自动对焦显微镜的Motic Moticam Pro 252A光学显微镜相机拍摄，血涂片采用全新开发的血液学试剂进行快速白细胞染色。数据集1的多数图像整体背景呈黄色。

搜集汇总

背景与挑战

背景概述

WBC Image Dataset 1是一个专业白细胞图像数据集，包含300张特殊染色处理的显微镜图像，具有显著的颜色和形态差异，附带专家标注的分割结果，主要用于评估细胞图像分割算法的鲁棒性。