Diabetic foot ulcers grand challenge : second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings / Moi Hoon Yap, Bill Cassidy, Connah Kendrick (eds.).
2022
RC660.A15 D48 2021
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Title
Diabetic foot ulcers grand challenge : second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings / Moi Hoon Yap, Bill Cassidy, Connah Kendrick (eds.).
Meeting Name
DFUC (Conference) (2nd : 2021 : Online).
ISBN
9783030949075 (electronic bk.)
3030949079 (electronic bk.)
9783030949068
3030949060
3030949079 (electronic bk.)
9783030949068
3030949060
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color).
Item Number
10.1007/978-3-030-94907-5 doi
Call Number
RC660.A15 D48 2021
Dewey Decimal Classification
616.4/62
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 on overview paper on the challenge and datasets and one summary paper of DFCU 2021. .
Note
International conference proceedings.
Includes author index.
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 28, 2022).
Added Meeting Name
International Conference on Medical Image Computing and Computer-Assisted Intervention (24th : 2021 : Online)
Series
Lecture notes in computer science ; 13183.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Available in Other Form
Print version: 9783030949068
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Online Access
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Table of 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
Efficient 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.
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
Efficient 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.