A Subphase-Labeled Mitotic Dataset for AI-powered Cell Division Analysis
Mitosis detection represents a critical task in digital pathology, as it plays an important role in the tumor grading and prognosis of patients. Manual determination is a labor-intensive task for practitioners with high interobserver variability, thus, automation is a priority. There has been substantial progress towards creating robust mitosis detection algorithms, primarily driven by the Mitosis Domain Generalization (MIDOG) challenges. Also, there has been growing interest in the molecular characterization of mitosis to achieve a more comprehensive understanding of its underlying mechanisms in a subphase-specific manner. We introduce a new mitotic figure dataset annotated with subphase information based on the MIDOG++ dataset as well as a previously unrepresented tumor domain to enhance the diversity and applicability. We envision a new perspective for domain generalization by improving model performance with subtyping mitosis, complemented with an atypical mitotic class. Our work has implications in two main areas: subtyping information can provide helpful information in mitosis detection, while also providing promising new directions in answering biological questions, such as molecular analysis of subphases.
Authors
- Marc Aubreville (ORCID: https://orcid.org/0000-0002-5294-5247)
- István Grexa (ORCID: https://orcid.org/0000-0002-0548-7706)
- Csaba Molnár (ORCID: https://orcid.org/0000-0002-6124-1209)
- Katalin Dobra (ORCID: https://orcid.org/0000-0002-0207-6733)
- Dominik Hirling (ORCID: https://orcid.org/0009-0009-4903-9188)
- Levente Kuthi (ORCID: https://orcid.org/0000-0001-9247-6679)
- János Fillinger (ORCID: https://orcid.org/0000-0003-1877-8702)
- Erika Tóth (ORCID: https://orcid.org/0000-0003-2054-8447)
- Vivien Miczán (ORCID: https://orcid.org/0000-0003-0457-4899)
- Farkas Sükösd (ORCID: https://orcid.org/0009-0004-0160-6992)
- Zsanett Zsófia Iván (ORCID: https://orcid.org/0000-0002-2800-990X)
- Jonas Ammeling
- Peter Horvath
- Judit Moldvay
- Tamas Micsik
Institutions
- Semmelweis University (HU)
- Karolinska University Hospital (SE)
- University of Szeged (HU)
- HUN-REN Szegedi Biológiai Kutatóközpont (HU)
- Karolinska Institutet (SE)
- Helmholtz Zentrum München (DE)
- Péterfy Sándor Utcai Kórház-Rendelőintézet és Baleseti Központ (HU)
- Technische Hochschule Ingolstadt (DE)
- National Institute of Oncology (HU)
- Karolinska Development (Sweden) (SE)
- Institute for Molecular Medicine Finland (FI)
- Országos Korányi Tbc és Pulmonológiai Intézet (HU)
- HUN-REN Research Centre for Natural Sciences (HU)
- Flensburg University of Applied Sciences (DE)
- Singer (United States) (US)
Publication Details
- Journal
- Scientific Data
- Published
- 2026-03-13
- DOI
- https://doi.org/10.1038/s41597-026-07007-7
- Primary Topic
- Microtubule and mitosis dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00