ArticleScientific reports2021
EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
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- Fully automatic HER2 tissue segmentation for interpretable HER2 scoring.Journal of pathology informatics · 2025Article
- Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometry.Veterinary pathology · 2025Article
- Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis.Scientific reports · 2024Article
- Ensembling U-Nets for microaneurysm segmentation in optical coherence tomography angiography in patients with diabetic retinopathy.Scientific reports · 2024Article
- Research collaboration data platform ensuring general data protection.Scientific reports · 2024Article
- Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm.Veterinary pathology · 2023Article
- Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry.Journal of pathology informatics · 2023Article
- Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset.Scientific data · 2022Article
- Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens.Scientific data · 2022Article
- Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning-A Study on Polar Bears.Animals : an open access journal from MDPI · 2022Article
- Surgical data science - from concepts toward clinical translation.Medical image analysis · 2022Review
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Authors and funding
10 authors.
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Abstract
In many research areas, scientific progress is accelerated by multidisciplinary access to image data and their interdisciplinary annotation. However, keeping track of these annotations to ensure a high-quality multi-purpose data set is a challenging and labour intensive task. We developed the open-source online platform EXACT (EXpert Algorithm Collaboration Tool) that enables the collaborative interdisciplinary analysis of images from different domains online and offline. EXACT supports multi-gigapixel medical whole slide images as well as image series with thousands of images. The software utilises a flexible plugin system that can be adapted to diverse applications such as counting mitotic figures with a screening mode, finding false annotations on a novel validation view, or using the latest deep learning image analysis technologies. This is combined with a version control system which makes it possible to keep track of changes in the data sets and, for example, to link the results of deep learning experiments to specific data set versions. EXACT is freely available and has already been successfully applied to a broad range of annotation tasks, including highly diverse applications like deep learning supported cytology scoring, interdisciplinary multi-centre whole slide image tumour annotation, and highly specialised whale sound spectroscopy clustering.
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