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

Author

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  • 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
    City Clinical Hospital No. 31 of the Moscow Healthcare Department, 119415 Moscow, Russia
    Medical Institute, Peoples’ Friendship University of Russia (RUDN University), 117198 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
    Laboratory of Regenerative Medicine, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, 117997 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
    City Clinical Hospital No. 31 of the Moscow Healthcare Department, 119415 Moscow, Russia)

  • Timur Fatkhudinov

    (A.P. Avtsyn Scientific Research Institute of Human Morphology, 117418 Moscow, Russia
    Medical Institute, Peoples’ Friendship University of Russia (RUDN University), 117198 Moscow, Russia)

  • Evgeny Karpulevich

    (Information Systems Department, Ivannikov Institute for System Programming, Russian Academy of Sciences (ISP RAS), 109004 Moscow, Russia)

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.

Suggested Citation

  • Anton Naumov & Egor Ushakov & Andrey Ivanov & Konstantin Midiber & Tatyana Khovanskaya & Alexandra Konyukova & Polina Vishnyakova & Sergei Nora & Liudmila Mikhaleva & Timur Fatkhudinov & Evgeny Karpul, 2022. "EndoNuke: Nuclei Detection Dataset for Estrogen and Progesterone Stained IHC Endometrium Scans," Data, MDPI, vol. 7(6), pages 1-12, June.
    • Handle: RePEc:gam:jdataj:v:7:y:2022:i:6:p:75-:d:829825
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    References listed on IDEAS

    as
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    2. Fahime Sheikhzadeh & Rabab K Ward & Dirk van Niekerk & Martial Guillaud, 2018. "Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-18, January.
    3. P. M. Hartigan, 1985. "Computation of the Dip Statistic to Test for Unimodality," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 34(3), pages 320-325, November.
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