Gland Segmentation in Colon Histology Images Challenge
The dataset used in this challenge consists of 165 images derived from 16 H&E stained histological sections of stage T3 or T42 colorectal adenocarcinoma. Each section belongs to a different patient, and sections were processed in the laboratory on different occasions. Thus, the dataset exhibits high inter-subject variability in both stain distribution and tissue architecture. The digitization of these histological sections into whole-slide images (WSIs) was accomplished using a Zeiss MIRAX MIDI Slide Scanner with a pixel resolution of 0.465µm.
Source: Sirinukunwattana et al.
Image source: Sirinukunwattana et al.
Variants: GlaS
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Medical Image Segmentation | Trans2Unet | Trans2Unet: Neural fusion for Nuclei … | 2024-07-24 |
| Medical Image Segmentation | MDM | Masked Diffusion as Self-supervised Representation … | 2023-08-10 |
| Medical Image Segmentation | HistoSeg | HistoSeg : Quick attention with … | 2022-09-01 |
| Medical Image Segmentation | U-Net++ | UCTransNet: Rethinking the Skip Connections … | 2021-09-09 |
| Medical Image Segmentation | U-Net | UCTransNet: Rethinking the Skip Connections … | 2021-09-09 |
| Medical Image Segmentation | UCTransNet | UCTransNet: Rethinking the Skip Connections … | 2021-09-09 |
| Medical Image Segmentation | MedT | Medical Transformer: Gated Axial-Attention for … | 2021-02-21 |
| Medical Image Segmentation | LoGo | Medical Transformer: Gated Axial-Attention for … | 2021-02-21 |
| Medical Image Segmentation | U-Net | Medical Transformer: Gated Axial-Attention for … | 2021-02-21 |
Recent papers with results on this dataset: