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SMMILe: WSI Embedding and Superpixel Data

This repository contains embedding and superpixel segmentation data for six publicly available whole-slide image (WSI) datasets. The embeddings were generated using two different encoders: ResNet-50 and Conch. Each dataset is available as a ZIP file containing both the embeddings and the corresponding superpixel segmentation results.

Datasets and Files

Each ZIP file contains the embeddings and superpixel segmentations for one dataset, processed using either ResNet-50 or Conch. The files are stored using Git LFS due to their large size.

File Overview:

Dataset Encoder File Name Size
Breast Conch camel_conch.zip 5.76 GB
Breast ResNet-50 camel_res50.zip 17.5 GB
Gastric Conch gastric_conch.zip 489 MB
Gastric ResNet-50 gastric_res50.zip 1.13 GB
Lung Conch lung_conch.zip 1.4 GB
Lung ResNet-50 lung_res50.zip 3.12 GB
Ovarian Conch ovarian_conch.zip 2.5 GB
Ovarian ResNet-50 ovarian_res50.zip 6.42 GB
Prostate Conch prostate_conch.zip 35.6 MB
Prostate ResNet-50 prostate_res50.zip 69.1 MB
Renal-3 Conch renal3_conch.zip 1.47 GB
Renal-3 ResNet-50 renal3_res50.zip 3.2 GB

Structure of Each ZIP File:

Each ZIP file contains two folders:

  • Model Embeddings: Embeddings for patches extracted from WSIs, stored as .npy files.
  • Superpixel Segmentations: Corresponding superpixel segmentation results for each WSI, stored as .npy files.

Example File Structure:

camel_res50.zip
  β”œβ”€β”€ resnet50/            # ResNet-50 embeddings (1024-dimensional)
  └── sp_xxx/              # Superpixel segmentations

gastric_conch.zip
  β”œβ”€β”€ conch/               # Conch embeddings (512-dimensional)
  └── sp_xxx/              # Superpixel segmentations

Embeddings (.npy Files):

Keys in the Embedding Files:

  • 'feature': Embedding vectors of image patches.
  • 'inst_label': Annotated label of each patch. A value of -1 indicates a non-annotated patch.
  • 'index': Coordinates and size of the patch in the format x_y_size, where x and y represent the top-left coordinates.

Superpixel Segmentations (.npy Files):

Keys in the Superpixel Files:

  • 'm_slic': Superpixel index for each patch.
  • 'm_adj': Adjacency matrix representing the relationships between superpixels.
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