LEADER 04103nam 22007815 450 001 9910523743903321 005 20251225203551.0 010 $a3-030-94907-9 024 7 $a10.1007/978-3-030-94907-5 035 $a(CKB)5670000000197615 035 $a(MiAaPQ)EBC6875055 035 $a(Au-PeEL)EBL6875055 035 $a(PPN)268949433 035 $a(BIP)83052253 035 $a(BIP)82598544 035 $a(DE-He213)978-3-030-94907-5 035 $a(EXLCZ)995670000000197615 100 $a20220120d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDiabetic Foot Ulcers Grand Challenge $eSecond Challenge, DFUC 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /$fedited by Moi Hoon Yap, Bill Cassidy, Connah Kendrick 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (127 pages) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v13183 311 08$a3-030-94906-0 327 $aDevelopment 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. 330 $aThis book constitutes the Second Diabetic Foot Ulcers Grand Challenge, DFUC 2021, which was held on September 27, 2021, in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually due to the COVID-19 pandemic. The 6 full papers included in this book were carefully reviewed and selected from 14 submissions. There is also an overview paper on the challenge and datasets and one summary paper of DFUC 2021. . 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v13183 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aMachine learning 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aSocial sciences$xData processing 606 $aComputers 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMachine Learning 606 $aProbability and Statistics in Computer Science 606 $aComputer Application in Social and Behavioral Sciences 606 $aComputing Milieux 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aMachine learning. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aSocial sciences$xData processing. 615 0$aComputers. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMachine Learning. 615 24$aProbability and Statistics in Computer Science. 615 24$aComputer Application in Social and Behavioral Sciences. 615 24$aComputing Milieux. 676 $a616.462 676 $a616.462 702 $aYap$b Moi Hoon 702 $aCassidy$b Bill 702 $aKendrick$b Connah 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910523743903321 996 $aDiabetic Foot Ulcers Grand Challenge$93030823 997 $aUNINA