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Data Augmentation, Labelling, and Imperfections

Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Hien V. Nguyen

    1. University of Houston, Houston, USA

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  2. Sharon X. Huang

    1. Pennsylvania State University, University Park, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Yuan Xue

    1. Johns Hopkins University, Baltimore, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13567)

Included in the following conference series:

Conference proceedings info: DALI 2022.

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About this book

This book constitutes the refereed proceedings of the Second MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2022, held in conjunction with MICCAI 2022, in Singapore in September 2022.

DALI 2022 accepted 12 papers from the 22 submissions that were reviewed. The papers focus on rigorous study of medical data related to machine learning systems.

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Keywords

Table of contents (12 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Image Synthesis-Based Late Stage Cancer Augmentation and Semi-supervised Segmentation for MRI Rectal Cancer Staging

    • Saeko Sasuga, Akira Kudo, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Atsushi Hamabe et al.
    Pages 1-10

  3. DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images

    • Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath et al.
    Pages 11-21

  4. Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study

    • Gregory Holste, Song Wang, Ziyu Jiang, Thomas C. Shen, George Shih, Ronald M. Summers et al.
    Pages 22-32

  5. Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely

    • Filip Rusak, Rodrigo Santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat et al.
    Pages 33-42

  6. TAAL: Test-Time Augmentation for Active Learning in Medical Image Segmentation

    • Mélanie Gaillochet, Christian Desrosiers, Hervé Lombaert
    Pages 43-53

  7. Disentangling a Single MR Modality

    • Lianrui Zuo, Yihao Liu, Yuan Xue, Shuo Han, Murat Bilgel, Susan M. Resnick et al.
    Pages 54-63

  8. CTooth+: A Large-Scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation

    • Weiwei Cui, Yaqi Wang, Yilong Li, Dan Song, Xingyong Zuo, Jiaojiao Wang et al.
    Pages 64-73

  9. Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning

    • Hansang Lee, Haeil Lee, Helen Hong, Junmo Kim
    Pages 74-82

  10. CSGAN: Synthesis-Aided Brain MRI Segmentation on 6-Month Infants

    • Xin Tang, Jiadong Zhang, Yongsheng Pan, Yuyao Zhang, Feng Shi
    Pages 83-91

  11. A Stratified Cascaded Approach for Brain Tumor Segmentation with the Aid of Multi-modal Synthetic Data

    • Yasmina Al Khalil, Aymen Ayaz, Cristian Lorenz, Jürgen Weese, Josien Pluim, Marcel Breeuwer
    Pages 92-101

  12. Efficient Medical Image Assessment via Self-supervised Learning

    • Chun-Yin Huang, Qi Lei, Xiaoxiao Li
    Pages 102-111

  13. Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays

    • Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma et al.
    Pages 112-122

  14. Back Matter

    Pages 123-124
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Other volumes

  1. Data Augmentation, Labelling, and Imperfections

Editors and Affiliations

  • University of Houston, Houston, USA

    Hien V. Nguyen

  • Pennsylvania State University, University Park, USA

    Sharon X. Huang

  • Johns Hopkins University, Baltimore, USA

    Yuan Xue

Bibliographic Information

  • Book Title: Data Augmentation, Labelling, and Imperfections

  • Book Subtitle: Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

  • Editors: Hien V. Nguyen, Sharon X. Huang, Yuan Xue

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-17027-0

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-17026-3Published: 22 September 2022

  • eBook ISBN: 978-3-031-17027-0Published: 21 September 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 124

  • Number of Illustrations: 2 b/w illustrations, 43 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Computing Milieux, Computer Applications

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