Pathology Images of Scanners and Mobilephones (PLISM) - Whole Slide Images Dataset

The Pathology Images of Scanners and Mobilephones (PLISM) dataset was created for the evaluation of AI models’ robustness to domain shifts. PLISM is the first group-wised pathological image dataset that encompasses diverse tissue types stained under 13 H&amp;E conditions, with multiple imaging media, including smartphones (7 scanners and 6 smartphones).The <b>PLISM-wsi</b> subset<b> </b>consists of image groups for all staining conditions between WSIs for each tile image. The PLISM-wsi subset contains a total of <b>310,947</b> imagesColor and texture in digital pathology images are affected by H&amp;E stain conditions (e.g. Harris or Carrazi) and digitalization devices (e.g. slide scanners or smartphones), which cause inter-institutional domain shifts.Please see the files 'stain_condition.png' and 'counterpart.png' for H&amp;E staining conditions and devices used.Each tar.gz file in this dataset contains a collection of files labeled via the following file naming convention: (stain_name)_(device_name)/(stain_name)_(device_name)_(top_left_x)_(top_left_y).pngThe csv file included with this dataset contains the following information:<b>Tissue Type:</b> The specific type of human tissue represented in the image, chosen from among 46 possible tissue types.<b>Stain Type:</b> The specific staining condition applied to the image, chosen from among 13 possible conditions.<b>Device Type:</b> The specific type of imaging device used to capture the image, chosen from among 13 possible device types.<b>Coordinate:</b> The xy coordinates of the top left and bottom right corners of each image (e.g., 1000_500_0_0).<b>Image Path:</b> The relative path to each image.See the smartphones subset of the PLISM dataset in the Collection at https://doi.org/10.25452/figshare.plus.c.6773925扫描仪与手机拍摄的病理图像（PLISM）数据集旨在评估AI模型对领域偏移的鲁棒性。PLISM是首个分组式病理图像数据集，涵盖13种苏木精-伊红（Hematoxylin and Eosin，H&E）染色条件下的多种组织类型，包含7台扫描仪与6台智能手机在内的多种成像介质。**PLISM-wsi**子集由针对每张图像切片的全玻片图像（WSIs）的所有染色条件对应的图像组构成。PLISM-wsi子集总计包含310,947张图像。数字病理图像的色彩与纹理会受到H&E染色条件（如Harris染色法、Carrazi染色法）与数字化设备（如玻片扫描仪、智能手机）的影响，由此引发跨机构领域偏移。请参阅文件`stain_condition.png`与`counterpart.png`，以了解本次数据集采用的H&E染色条件与成像设备。本数据集内的每个.tar.gz压缩包均包含按以下命名规则标注的文件集合：`(染色名称)_(设备名称)/(染色名称)_(设备名称)_(左上角x坐标)_(左上角y坐标).png`。本数据集附带的CSV文件包含以下信息：**组织类型**：图像所表征的特定人体组织类型，共涵盖46种可选组织类型；**染色类型**：图像所采用的特定染色条件，共涵盖13种可选染色条件；**设备类型**：用于采集图像的特定成像设备类型，共涵盖13种可选设备类型；**坐标**：每张图像的左上角与右下角xy坐标（示例格式：1000_500_0_0）；**图像路径**：每张图像的相对存储路径。请参阅该数据集合集中的PLISM数据集智能手机子集，访问地址：https://doi.org/10.25452/figshare.plus.c.6773925