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Diabetic Foot Ulcers Grand Challenge Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Title
Diabetic Foot Ulcers Grand Challenge [electronic resource] : Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings / edited by Moi Hoon Yap, Bill Cassidy, Connah Kendrick.
ISBN
9783030949075
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (IX, 121 p.) 52 illus., 47 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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. .
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 27, 2022
Series
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 13183
Contents
Development of Diabetic Foot Ulcer Datasets: An Overview
DFUC2021 Challenge Papers
Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification
Boosting EffcientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers
Bias Adjustable Activation Network for Imbalanced data - Diabetic Foot Ulcer Challenge 2021
Effcient Multi-model Vision Transformer based on Feature Fusion for Classification of DFUC2021 Challenge
Diabetic Foot Ulcer Classification using Well-known Deep Learning Architectures
Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary
Post Challenge Paper
Deep Subspace analysing for Semi-Supervised multi-label classification of Diabetic Foot Ulcer.
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