Publikationsdatenbank

EXACT:
a collaboration toolset for algorithm-aided annotation of images with annotation version control (2021)

Art

Zeitschriftenartikel / wissenschaftlicher Beitrag

Autoren

Marzahl, Christian

Aubreville, Marc

Bertram, Christof A. (WE 12)

Maier, Jennifer

Bergler, Christian

Kröger, Christine

Voigt, Jörn

Breininger, Katharina

Klopfleisch, Robert (WE 12)

Maier, Andreas

Quelle

Scientific reports

Bandzählung: 11

Heftzählung: 1

Seiten: Article number: 4343

ISSN: 2045-2322

Sprache

Englisch

Verweise

URL (Volltext): https://www.nature.com/articles/s41598-021-83827-4

DOI: 10.1038/s41598-021-83827-4

Pubmed: 33623058

Kontakt

Institut für Tierpathologie

Robert-von-Ostertag-Str. 15
14163 Berlin
+49 30 838 62450
pathologie@vetmed.fu-berlin.de

Abstract / Zusammenfassung

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.