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Diabetic Foot Ulcers Grand Challenge : Third Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings / edited by Moi Hoon Yap, Connah Kendrick, Bill Cassidy
(Lecture Notes in Computer Science. ISSN:16113349 ; 13797)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2023
大きさ	X, 125 p. 45 illus., 36 illus. in color : online resource
著者標目	Yap, Moi Hoon editor Kendrick, Connah editor Cassidy, Bill editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001419	Computer Scinece R0 2005-6,2022-3				9783031263545

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一般注記	Quantifying the Effect of Image Similarity on Diabetic Foot Ulcer Classification -- DFUC2022 Challenge Papers -- HarDNet-DFUS: Enhancing Backbone and Decoder of HarDNet-MSEGfor Diabetic Foot Ulcer Image Segmentation -- OCRNet For Diabetic Foot Ulcer Segmentation Combined with Edge Loss 30 -- On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness -- Capture the Devil in the Details via Partition-then-Ensemble on Higher Resolution Images -- Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension.-Post Challenge Paper -- Diabetic Foot Ulcer Segmentation Using Convolutional and Transformer-based Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation -- Organization IX DFU-Ens: End-to-End Diabetic Foot Ulcer Segmentation Framework with Vision Transformer Based Detection -- Summary Paper -- Diabetic Foot Ulcer Grand Challenge 2022 Summary This book constitutes the Third Diabetic Foot Ulcers Grand Challenge, DFUC 2022, which was held on September 2022, in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 in Singapore. The 8 full papers presented together with 5 challenge papers and 3 post-challenge papers included in this book were carefully reviewed and selected from 19 submissions. The DFU challenges aim to motivate the health care domain to share datasets, participate in ground truth annotation, and enable data-innovation in computer algorithm development. In the longer term, it will lead to improved patient care HTTP:URL=https://doi.org/10.1007/978-3-031-26354-5
件　名	LCSH:Computer vision LCSH:Image processing LCSH:Machine learning LCSH:Social sciences -- Data processing 全ての件名で検索 LCSH:Education -- Data processing 全ての件名で検索 LCSH:Software engineering FREE:Computer Vision FREE:Image Processing FREE:Machine Learning FREE:Computer Application in Social and Behavioral Sciences FREE:Computers and Education FREE:Software Engineering
分　類	LCC:TA1634 DC23:006.37
書誌ID	EB00000807
ISBN	9783031263545