Datasets › GlaS

GlaS (Gland Segmentation in Colon Histology Images Challenge)

Introduced by Korsuk Sirinukunwattana et al. in Gland Segmentation in Colon Histology Images: The GlaS Challenge Contest1 Mar 2016 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Medical Image Segmentation GlaS Hi-gMISnet F1 93.25 Hi-gMISnet: generalized medical image segmentation using... tushartalukder/HigMISnet 10 Compare

Papers archive 2025-07-28

6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 112. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (research-only, non-commercial, attribution)

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • GlaS

1 variant name, as the archive lists them.

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