MARC 主機 00000nam a2200625 i 4500
001 978-3-030-94907-5
003 DE-He213
005 20220124143153.0
006 m o d
007 cr nn 008maaau
008 220120s2022 sz s 0 eng d
020 9783030949075|q(electronic bk.)
020 9783030949068|q(paper)
024 7 10.1007/978-3-030-94907-5|2doi
040 GP|cGP|erda
041 0 eng
050 4 RC660.A15|bD48 2021
072 7 UYT|2bicssc
072 7 COM016000|2bisacsh
072 7 UYT|2thema
082 04 616.462|223
111 2 DFUC (Conference)|n(2nd :|d2021 :|cOnline)
245 10 Diabetic foot ulcers grand challenge :|bsecond challenge,
DFUC 2021, held in conjunction with MICCAI 2021,
Strasbourg, France, September 27, 2021 : proceedings /
|cedited by Moi Hoon Yap, Bill Cassidy, Connah Kendrick
246 3 DFUC 2021
246 3 MICCAI 2021
264 1 Cham :|bSpringer International Publishing :|bImprint:
Springer,|c2022
300 1 online resource (ix, 121 pages) :|billustrations
(chiefly color), digital ;|c24 cm
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
347 text file|bPDF|2rda
490 1 Lecture notes in computer science,|x0302-9743 ;|v13183
490 1 Image processing, computer vision, pattern recognition,
and graphics
505 0 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
520 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
650 0 Diabetes|xImaging|vCongresses
650 0 Diabetes|xComplications|vCongresses
650 0 Foot|xImaging|vCongresses
650 0 Foot|xUlcers|vCongresses
650 14 Computer Imaging, Vision, Pattern Recognition and Graphics
650 24 Machine Learning
650 24 Probability and Statistics in Computer Science
650 24 Computer Application in Social and Behavioral Sciences
650 24 Computing Milieux
700 1 Yap, Moi Hoon,|eeditor
700 1 Cassidy, Bill,|eeditor
700 1 Kendrick, Connah,|eeditor
710 2 SpringerLink (Online service)
711 2 International Conference on Medical Image Computing and
Computer-Assisted Intervention|n(24th :|d2021 :|cOnline)
773 0 |tSpringer Nature eBook
830 0 Lecture notes in computer science ;|v13183
830 0 Image processing, computer vision, pattern recognition,
and graphics
856 40 |uhttps://doi.org/10.1007/978-3-030-94907-5
912 Springer|b111106304615
