Diabetic Foot Ulcers Grand Challenge Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

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 COVI...

Full description

Bibliographic Details
Other Authors: Yap, Moi Hoon (Editor), Cassidy, Bill (Editor), Kendrick, Connah (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 03011nmm a2200421 u 4500
001 EB002009432
003 EBX01000000000000001172331
005 00000000000000.0
007 cr|||||||||||||||||||||
008 220201 ||| eng
020 |a 9783030949075 
100 1 |a Yap, Moi Hoon  |e [editor] 
245 0 0 |a Diabetic Foot Ulcers Grand Challenge  |h Elektronische Ressource  |b Second Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings  |c edited by Moi Hoon Yap, Bill Cassidy, Connah Kendrick 
250 |a 1st ed. 2022 
260 |a Cham  |b Springer International Publishing  |c 2022, 2022 
300 |a IX, 121 p. 52 illus., 47 illus. in color  |b online resource 
505 0 |a 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 
653 |a Mathematical statistics 
653 |a Machine learning 
653 |a Image processing / Digital techniques 
653 |a Machine Learning 
653 |a Computer science / Mathematics 
653 |a Computer vision 
653 |a Probability and Statistics in Computer Science 
653 |a Computer Application in Social and Behavioral Sciences 
653 |a Social sciences / Data processing 
653 |a Computers 
653 |a Computer Imaging, Vision, Pattern Recognition and Graphics 
653 |a Computing Milieux 
700 1 |a Cassidy, Bill  |e [editor] 
700 1 |a Kendrick, Connah  |e [editor] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a Image Processing, Computer Vision, Pattern Recognition, and Graphics 
028 5 0 |a 10.1007/978-3-030-94907-5 
856 4 0 |u https://doi.org/10.1007/978-3-030-94907-5?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006 
520 |a 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.