phaidra.vetmeduni.ac.at o:2258 DOI 10.1038/s41597-023-02327-4 A comprehensive multi-domain dataset for mitotic figure detection The prognostic value of mitotic figures in tumor tissue is well-established for many tumor types and automating this task is of high research interest. However, especially deep learning-based methods face performance deterioration in the presence of domain shifts, which may arise from different tumor types, slide preparation and digitization devices. We introduce the MIDOG++ dataset, an extension of the MIDOG 2021 and 2022 challenge datasets. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology with in total labels for 11,937 mitotic figures: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The specimens were processed in several laboratories utilizing diverse scanners. We evaluated the extent of the domain shift by using state-of-the-art approaches, observing notable differences in single-domain training. In a leave-one-domain-out setting, generalizability improved considerably. This mitotic figure dataset is the first that incorporates a wide domain shift based on different tumor types, laboratories, whole slide image scanners, and species. eng Breast-Cancer; Classification; System; Stage; Count 2023-10-31T12:06:41.372Z LOMv1.0 Author BEGIN:VCARD VERSION:3.0 N:Aubreville;Marc; FN:Marc Aubreville X-ORCID:https://orcid.org/0000-0002-5294-5247 END:VCARD BEGIN:VCARD VERSION:3.0 N:Bertram;Christof A.; FN:Christof A. Bertram X-ORCID:https://orcid.org/0000-0002-2402-9997 END:VCARD BEGIN:VCARD VERSION:3.0 N:Klopfleisch;Robert; FN:Robert Klopfleisch X-ORCID:https://orcid.org/0000-0002-6308-0568 END:VCARD BEGIN:VCARD VERSION:3.0 N:van Diest;Paul J.; FN:Paul J. van Diest END:VCARD BEGIN:VCARD VERSION:3.0 N:Ammeling;Jonas; FN:Jonas Ammeling END:VCARD BEGIN:VCARD VERSION:3.0 N:Ganz;Jonathan; FN:Jonathan Ganz END:VCARD BEGIN:VCARD VERSION:3.0 N:Veta;Mitko; FN:Mitko Veta END:VCARD BEGIN:VCARD VERSION:3.0 N:Jabari;Samir; FN:Samir Jabari END:VCARD BEGIN:VCARD VERSION:3.0 N:Donovan;Taryn A.; FN:Taryn A. Donovan END:VCARD BEGIN:VCARD VERSION:3.0 N:Breininger;Katharina; FN:Katharina Breininger X-ORCID:https://orcid.org/0000-0001-7600-5869 END:VCARD BEGIN:VCARD VERSION:3.0 N:Wilm;Frauke; FN:Frauke Wilm X-ORCID:https://orcid.org/0000-0002-9065-0554 END:VCARD BEGIN:VCARD VERSION:3.0 N:Stathonikos;Nikolas; FN:Nikolas Stathonikos END:VCARD https://w3id.org/kim/hcrt/scheme https://w3id.org/kim/hcrt/text Textdokument Text LOMv1.0 yes https://creativecommons.org/licenses/by/4.0 application/pdf 1357320 https://phaidra.vetmeduni.ac.at/o:2258 https://phaidra.vetmeduni.ac.at/api/object/o:2258/thumbnail LOMv1.0 discipline