https://phaidra.vetmeduni.ac.at/o:1962 Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens Marzahl, Christian Christian Marzahl 0000-0001-9340-9873 Friedrich-Alexander-Universität Erlangen-Nürnberg / EUROIMMUN Medizinische Labordiagnostika AG Bertram, Christof A. Christof A. Bertram 0000-0002-2402-9997 University of Veterinary Medicine Vienna / Freie Universität Berlin Breininger, Katharina Katharina Breininger Friedrich-Alexander-Universität Erlangen-Nürnberg Klopfleisch, Robert Robert Klopfleisch 0000-0002-6308-0568 Freie Universität Berlin Maier, Andreas Andreas Maier 0000-0002-9550-5284 Friedrich-Alexander-Universität Erlangen-Nürnberg Aubreville, Marc Marc Aubreville Technische Hochschule Ingolstadt Voigt, Jörn Jörn Voigt EUROIMMUN Medizinische Labordiagnostika AG Wilm, Frauke Frauke Wilm 0000-0002-9065-0554 Friedrich-Alexander-Universität Erlangen-Nürnberg Welker, Lutz Lutz Welker Lungen Clinic Grosshansdorf Bienzle, Dorothee Dorothee Bienzle 0000-0002-2301-2931 University of Guelph Hill, Jenny Jenny Hill VetPath Laboratory Services Stayt, Jason Jason Stayt VetPath Laboratory Services Nature Portfolio text eng Pulmonary hemorrhage (P-Hem) occurs among multiple species and can have various causes. Cytology of bronchoalveolar lavage fluid (BALF) using a 5-tier scoring system of alveolar macrophages based on their hemosiderin content is considered the most sensitive diagnostic method. We introduce a novel, fully annotated multi-species P-Hem dataset, which consists of 74 cytology whole slide images (WSIs) with equine, feline and human samples. To create this high-quality and high-quantity dataset, we developed an annotation pipeline combining human expertise with deep learning and data visualisation techniques. We applied a deep learning-based object detection approach trained on 17 expertly annotated equine WSIs, to the remaining 39 equine, 12 human and 7 feline WSIs. The resulting annotations were semi-automatically screened for errors on multiple types of specialised annotation maps and finally reviewed by a trained pathologist. Our dataset contains a total of 297,383 hemosiderophages classified into five grades. It is one of the largest publicly available WSIs datasets with respect to the number of annotations, the scanned area and the number of species covered. Bronchoalveolar Lavage; Hemorrhage; Performance; Impairs http://creativecommons.org/licenses/by/4.0/ https://phaidra.vetmeduni.ac.at/api/object/o:1962/download 10.1038/s41597-022-01389-0 https://phaidra.vetmeduni.ac.at/o:605 application/pdf Scientific Data 9(1) (2022) Scientific Data 9 1 844.88 kB 2022