Pathology Images of Scanners and Mobilephones (PLISM) - Smartphone Images Dataset

<p>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&E conditions, with multiple imaging media, including smartphones (7 scanners and 6 smartphones).</p><ul><li>In<b> PLISM-sm,</b> smartphone images were used as queries to create image groups for each staining condition corresponding to each tile image. The PLISM-sm subset contains a total of<b> 57,902 </b>images.</li><li>Color and texture in digital pathology images are affected by H&E stain conditions (e.g. Harris or Carrazi) and digitalization devices (e.g. slide scanners or smartphones), which cause inter-institutional domain shifts.</li><li>Please see the files 'stain_condition.png' and 'counterpart.png' for H&E staining conditions and devices used.</li><li>This tar.gz file contains a collection of files labeled via the following file naming convention:<br>(stain_name)/(device_name)/(top_left_x)_(top_left_y)_(right_lower_x)_(right_lower_y).png</li><li>The csv file included with this dataset contains the following information:</li></ul><ol><li><b>Tissue Type:</b> The specific type of human tissue represented in the image, chosen from among 46 possible tissue types.</li><li><b>Stain Type:</b> The specific staining condition applied to the image, chosen from among 13 possible conditions.</li><li><b>Device Type:</b> The specific type of imaging device used to capture the image, chosen from among 13 possible device types</li><li><b>Coordinate:</b> The xy coordinates of the top left and bottom right corners of each image (e.g., 1000_500_0_0)</li><li><b>Image Path:</b> The relative path to each image.</li></ol><p>See the whole slide images (WSIs) subset of the PLISM dataset in the Collection at https://doi.org/10.25452/figshare.plus.c.6773925</p>