LEADER 05685nam 22008415 450 001 9910483811703321 005 20200703163606.0 010 $a3-319-46976-2 024 7 $a10.1007/978-3-319-46976-8 035 $a(CKB)3710000000889726 035 $a(DE-He213)978-3-319-46976-8 035 $a(MiAaPQ)EBC6306585 035 $a(MiAaPQ)EBC5587126 035 $a(Au-PeEL)EBL5587126 035 $a(OCoLC)960694656 035 $a(PPN)196323169 035 $a(EXLCZ)993710000000889726 100 $a20160926d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning and Data Labeling for Medical Applications $eFirst International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings /$fedited by Gustavo Carneiro, Diana Mateus, Loļc Peter, Andrew Bradley, Joćo Manuel R. S. Tavares, Vasileios Belagiannis, Joćo Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XIII, 280 p. 115 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v10008 300 $aIncludes index. 311 $a3-319-46975-4 327 $aActive learning -- Semi-supervised learning -- Reinforcement learning -- Domain adaptation and transfer learning -- Crowd-sourcing annotations and fusion of labels from different sources -- Data augmentation -- Modelling of label uncertainty -- Visualization and human-computer interaction -- Image description -- Medical imaging-based diagnosis -- Medical signal-based diagnosis -- Medical image reconstruction and model selection using deep learning techniques -- Meta-heuristic techniques for fine-tuning -- Parameter in deep learning-based architectures -- Applications based on deep learning techniques. 330 $aThis book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty. The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v10008 606 $aOptical data processing 606 $aPattern recognition 606 $aArtificial intelligence 606 $aComputer graphics 606 $aHealth informatics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/I23060 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 0$aHealth informatics. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 615 24$aHealth Informatics. 676 $a610.285 702 $aCarneiro$b Gustavo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMateus$b Diana$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPeter$b Loļc$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBradley$b Andrew$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTavares$b Joćo Manuel R. 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