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Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge

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Kidney and Kidney Tumor Segmentation (KiTS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14540))

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Abstract

Kidney and Kidney Tumor Segmentation Challenge (KiTS) 2023 [6] offers a platform for researchers to compare their solutions to segmentation from 3D CT. In this work, we describe our submission to the challenge using automated segmentation of Auto3DSeg (https://monai.io/apps/auto3dseg) available in MONAI (https://github.com/Project-MONAI/MONAI). Our solution achieves the average dice of 0.835 and surface dice of 0.723, which ranks first and wins the KiTS 2023 challenge (https://kits-challenge.org/kits23/#kits23-official-results).

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Notes

  1. 1.

    https://docs.monai.io/en/stable/networks.html.

  2. 2.

    https://kits-challenge.org/kits23/#kits23-official-results.

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Author information

Authors and Affiliations

  1. NVIDIA, Santa Clara, USA

    Andriy Myronenko, Dong Yang, Yufan He & Daguang Xu

Authors
  1. Andriy Myronenko
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  2. Dong Yang
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  3. Yufan He
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  4. Daguang Xu
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Corresponding author

Correspondence to Andriy Myronenko .

Editor information

Editors and Affiliations

  1. Cleveland Clinic, Cleveland, OH, USA

    Nicholas Heller

  2. Cleveland Clinic, Cleveland, OH, USA

    Andrew Wood

  3. Helmholtz Imaging, Heidelberg, Germany

    Fabian Isensee

  4. Helmholtz Imaging, Heidelberg, Germany

    Tim Rädsch

  5. University of Minnesota, Minneapolis, MN, USA

    Resha Teipaul

  6. University of Minnesota, Minneapolis, MN, USA

    Nikolaos Papanikolopoulos

  7. Cleveland Clinic, Cleveland, OH, USA

    Christopher Weight

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Myronenko, A., Yang, D., He, Y., Xu, D. (2024). Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge. In: Heller, N., et al. Kidney and Kidney Tumor Segmentation. KiTS 2023. Lecture Notes in Computer Science, vol 14540. Springer, Cham. https://doi.org/10.1007/978-3-031-54806-2_1

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  • DOI: https://doi.org/10.1007/978-3-031-54806-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-54805-5

  • Online ISBN: 978-3-031-54806-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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