LEADER 04298nam 22007695 450 001 9910659495503321 005 20251225203643.0 010 $a9783031263545 010 $a3031263545 024 7 $a10.1007/978-3-031-26354-5 035 $a(MiAaPQ)EBC7201939 035 $a(Au-PeEL)EBL7201939 035 $a(CKB)26155077500041 035 $a(DE-He213)978-3-031-26354-5 035 $a(PPN)268204691 035 $a(EXLCZ)9926155077500041 100 $a20230211d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiabetic Foot Ulcers Grand Challenge $eThird Challenge, DFUC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings /$fedited by Moi Hoon Yap, Connah Kendrick, Bill Cassidy 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (130 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13797 311 08$aPrint version: Yap, Moi Hoon Diabetic Foot Ulcers Grand Challenge Cham : Springer International Publishing AG,c2023 9783031263538 320 $aIncludes bibliographical references and index. 327 $aQuantifying 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. 330 $aThis book constitutes the Third Diabetic Foot Ulcers Grand Challenge, DFUC 2022, which was held on September 2022, in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 in Singapore. The 8 full papers presented together with 5 challenge papers and 3 post-challenge papers included in this book were carefully reviewed and selected from 19 submissions. The DFU challenges aim to motivate the health care domain to share datasets, participate in ground truth annotation, and enable data-innovation in computer algorithm development. In the longer term, it will lead to improved patient care. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13797 606 $aComputer vision 606 $aImage processing 606 $aMachine learning 606 $aSocial sciences$xData processing 606 $aEducation$xData processing 606 $aSoftware engineering 606 $aComputer Vision 606 $aImage Processing 606 $aMachine Learning 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputers and Education 606 $aSoftware Engineering 615 0$aComputer vision. 615 0$aImage processing. 615 0$aMachine learning. 615 0$aSocial sciences$xData processing. 615 0$aEducation$xData processing. 615 0$aSoftware engineering. 615 14$aComputer Vision. 615 24$aImage Processing. 615 24$aMachine Learning. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputers and Education. 615 24$aSoftware Engineering. 676 $a616.462 702 $aYap$b Moi Hoon 702 $aKendrick$b Connah 702 $aCassidy$b Bill 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910659495503321 996 $aDiabetic Foot Ulcers Grand Challenge$93030823 997 $aUNINA