EndoNuke: Nuclei Detection Dataset for Estrogen and Progesterone Stained IHC Endometrium Scans

Anton Naumov, Egor Ushakov, Andrey Ivanov, Konstantin Midiber, Tatyana Khovanskaya, Alexandra Konyukova, Polina Vishnyakova, Sergei Nora, Liudmila Mikhaleva, Timur Fatkhudinov and Evgeny Karpulevich
Additional contact information
Anton Naumov: Information Systems Department, Ivannikov Institute for System Programming, Russian Academy of Sciences (ISP RAS), 109004 Moscow, Russia
Egor Ushakov: Information Systems Department, Ivannikov Institute for System Programming, Russian Academy of Sciences (ISP RAS), 109004 Moscow, Russia
Andrey Ivanov: Information Systems Department, Ivannikov Institute for System Programming, Russian Academy of Sciences (ISP RAS), 109004 Moscow, Russia
Konstantin Midiber: A.P. Avtsyn Scientific Research Institute of Human Morphology, 117418 Moscow, Russia
Tatyana Khovanskaya: A.P. Avtsyn Scientific Research Institute of Human Morphology, 117418 Moscow, Russia
Alexandra Konyukova: A.P. Avtsyn Scientific Research Institute of Human Morphology, 117418 Moscow, Russia
Polina Vishnyakova: Medical Institute, Peoples’ Friendship University of Russia (RUDN University), 117198 Moscow, Russia
Sergei Nora: Department of Microbiology, Immunology and Infectious Diseases, Yaroslav-the-Wise Novgorod State University, 173003 Veliky Novgorod, Russia
Liudmila Mikhaleva: A.P. Avtsyn Scientific Research Institute of Human Morphology, 117418 Moscow, Russia
Timur Fatkhudinov: A.P. Avtsyn Scientific Research Institute of Human Morphology, 117418 Moscow, Russia
Evgeny Karpulevich: Information Systems Department, Ivannikov Institute for System Programming, Russian Academy of Sciences (ISP RAS), 109004 Moscow, Russia

Data, 2022, vol. 7, issue 6, 1-12

Abstract: We present EndoNuke, an open dataset consisting of tiles from endometrium immunohistochemistry slides with the nuclei annotated as keypoints. Several experts with various experience have annotated the dataset. Apart from gathering the data and creating the annotation, we have performed an agreement study and analyzed the distribution of nuclei staining intensity.

Keywords: digital pathology; endometrium; nuclei detection dataset; whole-slide imaging (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/7/6/75/pdf (application/pdf)
https://www.mdpi.com/2306-5729/7/6/75/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:7:y:2022:i:6:p:75-:d:829825

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().