UID:
almahu_9949241406202882
Format:
IX, 121 p. 52 illus., 47 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030949075
Series Statement:
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 13183
Content:
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. .
Note:
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.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030949068
Additional Edition:
Printed edition: ISBN 9783030949082
Language:
English
DOI:
10.1007/978-3-030-94907-5
URL:
https://doi.org/10.1007/978-3-030-94907-5
