東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Diabetic foot ulcers grand challenge...

DFUC (Conference) (2021 :)

FindBook

Google Book

Amazon

博客來

Diabetic foot ulcers grand challenge = second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Diabetic foot ulcers grand challenge/ edited by Moi Hoon Yap, Bill Cassidy, Connah Kendrick.
其他題名:	second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
其他題名:	DFUC 2021
其他作者:	Yap, Moi Hoon.
團體作者:	DFUC (Conference)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	ix, 121 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Diabetes - Congresses. - Imaging -
電子資源:	https://doi.org/10.1007/978-3-030-94907-5
ISBN:	9783030949075

Diabetic foot ulcers grand challenge = second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
Diabetic foot ulcers grand challengesecond challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /[electronic resource] :DFUC 2021edited by Moi Hoon Yap, Bill Cassidy, Connah Kendrick. - Cham :Springer International Publishing :2022. - ix, 121 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in computer science,131830302-9743 ;. - Lecture notes in computer science ;13183..

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.

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.

ISBN: 9783030949075

Standard No.: 10.1007/978-3-030-94907-5doiSubjects--Topical Terms:

3592121
Diabetes
--Imaging--Congresses.

LC Class. No.: RC660.A15 / D48 2021

Dewey Class. No.: 616.462

Diabetic foot ulcers grand challenge = second challenge, DFUC 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
LDR:02665nmm a2200373 a 4500 001 2296984
003 DE-He213
005 20220124143153.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030949075 $q (electronic bk.)
020 $a 9783030949068 $q (paper)
024 7 $a 10.1007/978-3-030-94907-5 $2 doi
035 $a 978-3-030-94907-5
040 $a GP $c GP
041 0 $a eng
050 4 $a RC660.A15 $b D48 2021
072 7 $a UYT $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYT $2 thema
082 0 4 $a 616.462 $2 23
090 $a RC660.A15 $b D532 2021
111 2 $a DFUC (Conference) $n (2nd : $d 2021 : $c Online) $3 3592116
245 1 0 $a Diabetic foot ulcers grand challenge $h [electronic resource] : $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.
246 3 $a DFUC 2021
246 3 $a MICCAI 2021
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a ix, 121 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13183
490 1 $a Image processing, computer vision, pattern recognition, and graphics
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.
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.
650 0 $a Diabetes $x Imaging $v Congresses. $3 3592121
650 0 $a Diabetes $x Complications $v Congresses. $3 1067282
650 0 $a Foot $x Imaging $v Congresses. $3 3592122
650 0 $a Foot $x Ulcers $v Congresses. $3 3592123
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Probability and Statistics in Computer Science. $3 891072
650 2 4 $a Computer Application in Social and Behavioral Sciences. $3 3538516
650 2 4 $a Computing Milieux. $3 893243
700 1 $a Yap, Moi Hoon. $3 3592117
700 1 $a Cassidy, Bill. $3 3592118
700 1 $a Kendrick, Connah. $3 3592119
710 2 $a SpringerLink (Online service) $3 836513
711 2 $a International Conference on Medical Image Computing and Computer-Assisted Intervention $n (24th : $d 2021 : $c Online) $3 3517961
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 13183. $3 3592120
830 0 $a Image processing, computer vision, pattern recognition, and graphics. $3 3382509
856 4 0 $u https://doi.org/10.1007/978-3-030-94907-5
950 $a Computer Science (SpringerNature-11645)