Pathology Images of Scanners and Mobilephones (PLISM) - Smartphone 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&E conditions, with multiple imaging media, including smartphones (7 scanners and 6 smartphones).

• In PLISM-sm, 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 57,902 images.
• 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.
• Please see the files 'stain_condition.png' and 'counterpart.png' for H&E staining conditions and devices used.
• This tar.gz file contains a collection of files labeled via the following file naming convention:
  (stain_name)/(device_name)/(top_left_x)_(top_left_y)_(right_lower_x)_(right_lower_y).png
• The csv file included with this dataset contains the following information:

1. Tissue Type: The specific type of human tissue represented in the image, chosen from among 46 possible tissue types.
2. Stain Type: The specific staining condition applied to the image, chosen from among 13 possible conditions.
3. Device Type: The specific type of imaging device used to capture the image, chosen from among 13 possible device types
4. Coordinate: The xy coordinates of the top left and bottom right corners of each image (e.g., 1000_500_0_0)
5. Image Path: The relative path to each image.

See the whole slide images (WSIs) subset of the PLISM dataset in the Collection at https://doi.org/10.25452/figshare.plus.c.6773925