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  • Conference proceedings
  • © 2022

Kidney and Kidney Tumor Segmentation

MICCAI 2021 Challenge, KiTS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Editors:

  1. Nicholas Heller

    1. University of Minnesota, Minneapolis, USA

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  2. Fabian Isensee

    1. German Cancer Research Center (DKFZ), Heidelberg, Germany

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  3. Darya Trofimova

    1. German Cancer Research Center (DKFZ), Heidelberg, Germany

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  4. Resha Tejpaul

    1. University of Minnesota, Minneapolis, USA

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  5. Nikolaos Papanikolopoulos

    1. University of Minnesota, Minneapolis, USA

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  6. Christopher Weight

    1. Cleveland Clinic, Cleveland, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13168)

Conference series link(s): KiTS: International Challenge on Kidney and Kidney Tumor Segmentation

Conference proceedings info: KiTS 2021.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-viii
    PDF

  2. Automated Kidney Tumor Segmentation with Convolution and Transformer Network

    • Zhiqiang Shen, Hua Yang, Zhen Zhang, Shaohua Zheng
    Pages 1-12

  3. Extraction of Kidney Anatomy Based on a 3D U-ResNet with Overlap-Tile Strategy

    • Jannes Adam, Niklas Agethen, Robert Bohnsack, René Finzel, Timo Günnemann, Lena Philipp et al.
    Pages 13-21

  4. Modified nnU-Net for the MICCAI KiTS21 Challenge

    • Lizhan Xu, Jiacheng Shi, Zhangfu Dong
    Pages 22-27

  5. 2.5D Cascaded Semantic Segmentation for Kidney Tumor Cyst

    • Zhiwei Chen, Hanqiang Liu
    Pages 28-34

  10. Kidney and Kidney Tumor Segmentation Using a Two-Stage Cascade Framework

    • Chaonan Lin, Rongda Fu, Shaohua Zheng
    Pages 59-70

  11. Squeeze-and-Excitation Encoder-Decoder Network for Kidney and Kidney Tumor Segmentation in CT Images

    • Jianhui Wen, Zhaopei Li, Zhiqiang Shen, Yaoyong Zheng, Shaohua Zheng
    Pages 71-79

  13. Mixup Augmentation for Kidney and Kidney Tumor Segmentation

    • Matej Gazda, Peter Bugata, Jakub Gazda, David Hubacek, David Jozef Hresko, Peter Drotar
    Pages 90-97

  15. An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans

    • Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon
    Pages 103-115

  16. Contrast-Enhanced CT Renal Tumor Segmentation

    • Chuda Xiao, Haseeb Hassan, Bingding Huang
    Pages 116-122

  17. A Cascaded 3D Segmentation Model for Renal Enhanced CT Images

    • Dan Li, Zhuo Chen, Haseeb Hassan, Weiguo Xie, Bingding Huang
    Pages 123-128

  20. 3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT

    • Mingyang Zang, Artur Wysoczanski, Elsa Angelini, Andrew F. Laine
    Pages 143-150
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Other Volumes

  1. Kidney and Kidney Tumor Segmentation

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About this book

This book constitutes the Second International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2021, which was held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually on September 27, 2021, due to the COVID-19 pandemic.

The 21 contributions presented were carefully reviewed and selected from 29 submissions. This challenge aims to develop the best system for automatic semantic segmentation of renal tumors and surrounding anatomy.


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Keywords

  • artificial intelligence
  • automatic segmentations
  • computer vision
  • deep learning
  • grand challenges
  • image analysis
  • image processing
  • image segmentation
  • kidney cancer
  • learning
  • machine learning
  • medical image analysis
  • medical images
  • neural networks
  • object recognition
  • object segmentation
  • pattern recognition
  • segmentation methods
  • semantic segmentation
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Editors and Affiliations

  • University of Minnesota, Minneapolis, USA

    Nicholas Heller, Resha Tejpaul, Nikolaos Papanikolopoulos

  • German Cancer Research Center (DKFZ), Heidelberg, Germany

    Fabian Isensee, Darya Trofimova

  • Cleveland Clinic, Cleveland, USA

    Christopher Weight

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Bibliographic Information

  • Book Title: Kidney and Kidney Tumor Segmentation

  • Book Subtitle: MICCAI 2021 Challenge, KiTS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

  • Editors: Nicholas Heller, Fabian Isensee, Darya Trofimova, Resha Tejpaul, Nikolaos Papanikolopoulos, Christopher Weight

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-98385-7

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-030-98384-0Published: 25 March 2022

  • eBook ISBN: 978-3-030-98385-7Published: 24 March 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: VIII, 165

  • Number of Illustrations: 12 b/w illustrations, 68 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Computer and Information Systems Applications, Machine Learning

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Access via your institution
eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-98385-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)
Learn about institutional subscriptions