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Cancer Prevention Through Early Detection

Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Sharib Ali

    1. University of Leeds, Leeds, UK

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  2. Fons van der Sommen

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  3. Maureen van Eijnatten

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  4. Bartłomiej W. Papież

    1. University of Oxford, Oxford, UK

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  5. Yueming Jin

    1. National University of Singapore, Singapore, Singapore

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  6. Iris Kolenbrander

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14295)

Included in the following conference series:

Conference proceedings info: CaPTion 2023.

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About this book

This book constitutes the refereed proceedings of the second International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 26th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2023, in Vancouver, Canada, in October 2023.

The 11 papers presented at CaPTion 2023 were carefully reviewed and selected from 12 submissions. The workshop invites researchers to submit their work in the field of medical image analysis around the central theme of cancer and early cancer detection, progression, inflammation understanding, multimodality data, and computer-aided navigation.

Keywords

Table of contents (11 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Classification

    1. Front Matter

      Pages 1-1
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    2. A Deep Attention-Multiple Instance Learning Framework to Predict Survival of Soft-Tissue Sarcoma from Whole Slide Images

      • Van-Linh Le, Audrey Michot, Amandine Crombé, Carine Ngo, Charles Honoré, Jean-Michel Coindre et al.
      Pages 3-16

    3. Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification

      • David Grajales, William Le, Frédérick Dallaire, Guillaume Sheehy, Sandryne David, Trang Tran et al.
      Pages 17-28

    4. Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images

      • Anum Masood, Usman Naseem, Mehwish Nasim
      Pages 29-39

    5. Image Captioning for Automated Grading and Understanding of Ulcerative Colitis

      • Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz et al.
      Pages 40-51

  3. Detection and Segmentation

    1. Front Matter

      Pages 53-53
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    2. Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI

      • Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel
      Pages 55-67

    3. Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer

      • Rebeca Vétil, Clément Abi-Nader, Alexandre Bône, Marie-Pierre Vullierme, Marc-Michel Rohé, Pietro Gori et al.
      Pages 68-82

    4. Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores

      • Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel Gonzalez-Mendoza, Christian Mata
      Pages 83-93

    5. MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation

      • Jiadong Zhang, Qianqian Chen, Luping Zhou, Zhiming Cui, Fei Gao, Zhenhui Li et al.
      Pages 94-104

  4. Cancer/Early cancer Surveillance

    1. Front Matter

      Pages 105-105
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    2. Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time

      • George Leifman, Idan Kligvasser, Roman Goldenberg, Ehud Rivlin, Michael Elad
      Pages 107-118

    3. ColNav: Real-Time Colon Navigation for Colonoscopy

      • Netanel Frank, Erez Posner, Emmanuelle Muhlethaler, Adi Zholkover, Moshe Bouhnik
      Pages 119-131

    4. Modeling Barrett’s Esophagus Progression Using Geometric Variational Autoencoders

      • Vivien van Veldhuizen, Sharvaree Vadgama, Onno de Boer, Sybren Meijer, Erik J. Bekkers
      Pages 132-142

  5. Back Matter

    Pages 143-144
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Other volumes

  1. Cancer Prevention Through Early Detection

Editors and Affiliations

  • University of Leeds, Leeds, UK

    Sharib Ali

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Fons van der Sommen, Maureen van Eijnatten, Iris Kolenbrander

  • University of Oxford, Oxford, UK

    Bartłomiej W. Papież

  • National University of Singapore, Singapore, Singapore

    Yueming Jin

Bibliographic Information

  • Book Title: Cancer Prevention Through Early Detection

  • Book Subtitle: Second International Workshop, CaPTion 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings

  • Editors: Sharib Ali, Fons van der Sommen, Maureen van Eijnatten, Bartłomiej W. Papież, Yueming Jin, Iris Kolenbrander

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-45350-2

  • 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 2023

  • Softcover ISBN: 978-3-031-45349-6Published: 07 October 2023

  • eBook ISBN: 978-3-031-45350-2Published: 06 October 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 144

  • Number of Illustrations: 1 b/w illustrations, 55 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Machine Learning, Computing Milieux, Computer Applications

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