PatchCamelyon (PCAM) 5% subset
<p>This subset was created for teaching purposes. It is derived from the original data on drive (https://drive.google.com/drive/folders/1gHou49cA1s5vua2V5L98Lt8TiWA3FrKB) and contains every 20th image in each of the splits. References for this dataset are:</p> <p>- B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivariant CNNs for Digital Pathology". <a href="http://arxiv.org/abs/1806.03962">arXiv:1806.03962</a>.</p> <p>- Ehteshami Bejnordi et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer. JAMA: The Journal of the American Medical Association, 318(22), 2199–2210. <a href="https://doi.org/10.1001/jama.2017.14585">doi:jama.2017.14585</a>.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 8
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0