ArticleScientific data2020
A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 65 citations in OpenAlex.
- Recent Advances in Automated Mitosis Detection in Digital Pathology: A PRISMA-Guided Systematic Review with Evaluation-Regime Stratification (2018-2025).Biomedicines · 2026Review
- The application of artificial intelligence in veterinary oncology: a scoping review.BMC veterinary research · 2025Article
- Deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data.Communications medicine · 2025Article
- A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides.Communications biology · 2024Article
- Scalable deep learning artificial intelligence histopathology slide analysis and validation.Scientific reports · 2024Article
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- Enhancing mitosis quantification and detection in meningiomas with computational digital pathology.Acta neuropathologica communications · 2024Article
- A novel dilated contextual attention module for breast cancer mitosis cell detection.Frontiers in physiology · 2024Article
- A comprehensive multi-domain dataset for mitotic figure detection.Scientific data · 2023Article
- Bridging clinic and wildlife care with AI-powered pan-species computational pathology.Nature communications · 2023Article
- A dataset of rodent cerebrovasculature from in vivo multiphoton fluorescence microscopy imaging.Scientific data · 2023Article
- Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry.Journal of pathology informatics · 2023Article
- Multi-modality artificial intelligence in digital pathology.Briefings in bioinformatics · 2022Review
- Review
- Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens.Scientific data · 2022Article
- Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.Veterinary pathology · 2022Article
- Review
- Active Learning Performance in Labeling Radiology Images Is 90% Effective.Frontiers in radiology · 2021Article
- A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research.Scientific data · 2020Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
astractCanine mammary carcinoma (CMC) has been used as a model to investigate the pathogenesis of human breast cancer and the same grading scheme is commonly used to assess tumor malignancy in both. One key component of this grading scheme is the density of mitotic figures (MF). Current publicly available datasets on human breast cancer only provide annotations for small subsets of whole slide images (WSIs). We present a novel dataset of 21 WSIs of CMC completely annotated for MF. For this, a pathologist screened all WSIs for potential MF and structures with a similar appearance. A second expert blindly assigned labels, and for non-matching labels, a third expert assigned the final labels. Additionally, we used machine learning to identify previously undetected MF. Finally, we performed representation learning and two-dimensional projection to further increase the consistency of the annotations. Our dataset consists of 13,907 MF and 36,379 hard negatives. We achieved a mean F1-score of 0.791 on the test set and of up to 0.696 on a human breast cancer dataset.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.