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Cancer Prevention Through Early Detection

First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

  • Conference proceedings
  • © 2022

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. Bartłomiej Władysław Papież

    1. University of Oxford, Oxford, UK

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  4. Maureen van Eijnatten

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  5. Yueming Jin

    1. University College London, London, UK

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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 13581)

Included in the following conference series:

Conference proceedings info: CaPTion 2022.

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Table of contents (16 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Classification

    1. Front Matter

      Pages 1-1
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    2. 3D-Morphomics, Morphological Features on CT Scans for Lung Nodule Malignancy Diagnosis

      • Elias Munoz, Pierre Baudot, Van-Khoa Le, Charles Voyton, Benjamin Renoust, Danny Francis et al.
      Pages 3-13

    3. Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance

      • Ziang Xu, Sharib Ali, Numan Celik, Adam Bailey, Barbara Braden, Jens Rittscher
      Pages 14-23

    4. Multi-scale Deformable Transformer for the Classification of Gastric Glands: The IMGL Dataset

      • Panagiotis Barmpoutis, Jing Yuan, William Waddingham, Christopher Ross, Kayhanian Hamzeh, Tania Stathaki et al.
      Pages 24-33

    5. Parallel Classification of Cells in Thinprep Cytology Test Image for Cervical Cancer Screening

      • Maosong Cao, Xin Zhang, Xiangshan Fan, Lichi Zhang, Qian Wang
      Pages 34-43

  3. Detection and Diagnosis

    1. Front Matter

      Pages 45-45
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    2. Lightweight Transformer Backbone for Medical Object Detection

      • Yifan Zhang, Haoyu Dong, Nicholas Konz, Hanxue Gu, Maciej A. Mazurowski
      Pages 47-56

    3. Contrastive and Attention-Based Multiple Instance Learning for the Prediction of Sentinel Lymph Node Status from Histopathologies of Primary Melanoma Tumours

      • Carlos Hernandez Perez, Marc Combalia Escudero, Susana Puig, Josep Malvehy, Veronica Vilaplana Besler
      Pages 57-66

    4. Knowledge Distillation with a Class-Aware Loss for Endoscopic Disease Detection

      • Pedro E. Chavarrias-Solano, Mansoor A. Teevno, Gilberto Ochoa-Ruiz, Sharib Ali
      Pages 67-76

    5. IF3: An Interpretable Feature Fusion Framework for Lesion Risk Assessment Based on Auto-constructed Fuzzy Cognitive Maps

      • Georgia Sovatzidi, Michael D. Vasilakakis, Dimitris K. Iakovidis
      Pages 77-86

  4. Lesion Characterization

    1. Front Matter

      Pages 87-87
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    2. A CAD System for Real-Time Characterization of Neoplasia in Barrett’s Esophagus NBI Videos

      • Carolus H. J. Kusters, Tim G. W. Boers, Jelmer B. Jukema, Martijn R. Jong, Kiki N. Fockens, Albert J. de Groof et al.
      Pages 89-98

    3. Efficient Out-of-Distribution Detection of Melanoma with Wavelet-Based Normalizing Flows

      • M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen
      Pages 99-107

    4. Robust Colorectal Polyp Characterization Using a Hybrid Bayesian Neural Network

      • Nikoo Dehghani, Thom Scheeve, Quirine E. W. van der Zander, Ayla Thijssen, Ramon-Michel Schreuder, Ad A. M. Masclee et al.
      Pages 108-117

    5. Active Data Enrichment by Learning What to Annotate in Digital Pathology

      • George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher
      Pages 118-127

  5. Segmentation, Registration, and Image-Guided Intervention

    1. Front Matter

      Pages 129-129
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    2. Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett’s Neoplasia Detection

      • Tim G. W. Boers, Carolus H. J. Kusters, Kiki N. Fockens, Jelmer B. Jukema, Martijn R. Jong, Jeroen de Groof et al.
      Pages 131-138

    3. Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features

      • Christiaan G. A. Viviers, Mark Ramaekers, Peter H. N. de With, Dimitrios Mavroeidis, Joost Nederend, Misha Luyer et al.
      Pages 139-148

    4. Strategising Template-Guided Needle Placement for MR-targeted Prostate Biopsy

      • Iani JMB Gayo, Shaheer U. Saeed, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu
      Pages 149-158
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Other volumes

  1. Cancer Prevention Through Early Detection

Keywords

About this book

This book constitutes the refereed proceedings of the first International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022.

 The 16 papers presented at CaPTion 2022 were carefully reviewed and selected from 21 submissions. The workshop invites researchers to submit their work in the field of medical imaging around the central theme of early cancer detection, and it strives to address the challenges that are required to be overcomed to translate computational methods to clinical practice through well designed, generalizable (robust), interpretable and clinically transferable methods.


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 Władysław Papież

  • University College London, London, UK

    Yueming Jin

Bibliographic Information

  • Book Title: Cancer Prevention Through Early Detection

  • Book Subtitle: First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings

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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-17979-2

  • 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 2022

  • Softcover ISBN: 978-3-031-17978-5Published: 25 September 2022

  • eBook ISBN: 978-3-031-17979-2Published: 30 September 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 170

  • Number of Illustrations: 4 b/w illustrations, 48 illustrations in colour

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

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