Datasets › ICIAR 2018 Grand Challenge on Breast Cancer Histology Images
ICIAR 2018 Grand Challenge on Breast Cancer Histology Images
The dataset is composed of Hematoxylin and eosin (H&E) stained breast histology microscopy and whole-slide images. Challenge participants should evaluate the performance of their method on either/both sets of images.
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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Breast Cancer Histology Image Classification | ICIAR 2018 Grand Challenge on Breast Cancer Histology Images | ResNet-152 Accuracy (% ) 83 | Breast cancer histology classification using Deep... | kamalravi/Lung-cancer-detection | 1 | Compare |
Papers archive 2025-07-28
1 shown of 1 paper 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 1. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Breast cancer histology classification using Deep Residual Networks | 1 | 1 | 1 Jul 2018 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- ICIAR 2018 Grand Challenge on Breast Cancer Histology Images
1 variant name, as the archive lists them.
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