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  • Conference proceedings
  • © 2022

Diabetic Foot Ulcers Grand Challenge

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

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13183)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Conference series link(s): DFUC: Diabetic Foot Ulcers Grand Challenge

Conference proceedings info: DFUC 2021.

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eBook USD 44.99
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  • ISBN: 978-3-030-94907-5
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Table of contents (8 papers)

  1. Front Matter

    Pages i-ix
  2. Development of Diabetic Foot Ulcer Datasets: An Overview

    • Moi Hoon Yap, Connah Kendrick, Neil D. Reeves, Manu Goyal, Joseph M. Pappachan, Bill Cassidy
    Pages 1-18
  3. DFUC 2021 Challenge Papers

    1. Front Matter

      Pages 19-19
    2. Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification

      • Adrian Galdran, Gustavo Carneiro, Miguel A. González Ballester
      Pages 21-29
    3. Efficient Multi-model Vision Transformer Based on Feature Fusion for Classification of DFUC2021 Challenge

      • Abdul Qayyum, Abdesslam Benzinou, Moona Mazher, Fabrice Meriaudeau
      Pages 62-75
    4. Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary

      • Bill Cassidy, Connah Kendrick, Neil D. Reeves, Joseph M. Pappachan, Claire O’Shea, David G. Armstrong et al.
      Pages 90-105
  4. Post Challenge Paper

    1. Front Matter

      Pages 107-107
  5. Back Matter

    Pages 121-121

Other Volumes

  1. Diabetic Foot Ulcers Grand Challenge

About this book

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

The 6 full papers included in this book were carefully reviewed and selected from 14 submissions. There is also an overview paper on the challenge and datasets and one summary paper of DFUC 2021. 


Keywords

  • artificial intelligence
  • classification methods
  • classification models
  • computer networks
  • computer vision
  • deep learning
  • image analysis
  • image processing
  • image reconstruction
  • imaging systems
  • machine learning
  • neural networks
  • pattern recognition
  • signal processing
  • software quality

Editors and Affiliations

  • Manchester Metropolitan University, Manchester, UK

    Moi Hoon Yap, Bill Cassidy, Connah Kendrick

Bibliographic Information

Buying options

eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-3-030-94907-5
  • 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)