SMMILe_Datasets / README.md
zeyugao's picture
Update README.md
2db8bd5 verified
metadata
license: cc-by-4.0

SMMILe: WSI Embedding Superpixel Data, and Checkpoints

This repository contains embedding superpixel segmentation and checkpoint 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

Checkpoints of SMMILe for different datasets and encoders are all saved in ckpt_submit.zip.

The rest of the ZIP files contain the embeddings and superpixel segmentations for one dataset, which are 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.