LEADER 01603nas 2200541-a 450 001 996204096703316 005 20221206223757.0 011 $a1748-3743 035 $a(OCoLC)70057428 035 $a(CKB)1000000000210606 035 $a(CONSER)--2013211507 035 $a(DE-599)ZDB2242164-6 035 $a(EXLCZ)991000000000210606 100 $a20060609a20069999 s-- a 101 0 $aeng 135 $aurun||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInternational journal of older people nursing 210 $a[Oxford, England] $cBlackwell Science 300 $aRefereed/Peer-reviewed 311 $a1748-3735 531 $aINT J OLDER PEOPLE NURS 606 $aGeriatrics$xNursing$vPeriodicals 606 $aNursing$vPeriodicals 606 $aGerontology$vPeriodicals 606 $aClinical medicine$vPeriodicals 606 $aGeriatric Nursing 606 $aClinical medicine$2fast$3(OCoLC)fst00864361 606 $aGerontology$2fast$3(OCoLC)fst00942204 606 $aNursing$2fast$3(OCoLC)fst01041731 608 $aPeriodicals.$2lcgft 608 $aPeriodical. 608 $aPeriodicals.$2fast 615 0$aGeriatrics$xNursing 615 0$aNursing 615 0$aGerontology 615 0$aClinical medicine 615 12$aGeriatric Nursing. 615 7$aClinical medicine. 615 7$aGerontology. 615 7$aNursing. 676 $a618.970231 906 $aJOURNAL 912 $a996204096703316 996 $aInternational journal of older people nursing$92070752 997 $aUNISA LEADER 06327nam 22008055 450 001 9910481958303321 005 20251113190353.0 010 $a3-319-10581-7 024 7 $a10.1007/978-3-319-10581-9 035 $a(CKB)3710000000249752 035 $a(SSID)ssj0001354190 035 $a(PQKBManifestationID)11732959 035 $a(PQKBTitleCode)TC0001354190 035 $a(PQKBWorkID)11322703 035 $a(PQKB)11514510 035 $a(DE-He213)978-3-319-10581-9 035 $a(MiAaPQ)EBC5590942 035 $a(PPN)181351633 035 $a(EXLCZ)993710000000249752 100 $a20140905d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning in Medical Imaging $e5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014, Proceedings /$fedited by Guorong Wu, Daoqiang Zhang, Luping Zhou 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (XII, 332 p. 136 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v8679 300 $aIncludes index. 311 08$a3-319-10580-9 327 $a Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development -- Graph-Based Label Propagation in Fetal brain MR Images -- Deep Learning Based Automatic immune Cell Detection for Immunohistochemistry Images -- Stacked Multiscale Feature learning for Domain Independent Medical Image Segmentation -- Detection of Mammographic Masses by Content-Based Image Retrieval -- Inferring Sources of Dementia Progression with Network Diffusion Model -- 3D Intervertebral Disc Localization through Representation Learning with Knowledge Transfer -- Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification -- Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression -- Manifold Alignment and Transfer Learning for Classification of Alzheimer?s Disease -- Gleason Grading of Prostate Tumors with Max-Margin Conditional Random Fields -- Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images -- Geodesic Geometric mean of Regional Covariance Descriptors as an Image-Level Descriptor for nuclear Atypia Grading in Breast Images -- A constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation -- Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation -- Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer -- Searching for Structures of Interest in an Ultrasound Video Sequence -- Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer?s Disease -- Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection -- Sparse Discriminative Feature Selection for Multi-Class Alzheimer?s Disease Classification -- Context-aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images.-Optimal MAP Parameters Estimation in STAPLE-Learning from Performance Parameters versus Image Similarity Information -- Colon Biopsy Classification Using Crypt Architecture -- Network Guided Group Feature Selection for Classification of Autism Spectrum Disorder -- Deformation Field Correction for Spatial Normalization of PET Images Using a Population-derived Partial Least Squares Model -- Novel Multi-Atlas Segmentation by Matrix Completion -- Structured Random Forest for Myocardium Delineation in 3D Echocardiography -- Improved Reproducibility of Neuroanatomical Definition through Diffeomorphometry and Complexity Reduction -- Topological Descriptors of Histology Images -- Robust Deep Learning for Improved Classification of AD/MCI Patients -- Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation -- Online Discriminative Multi-Atlas Learning with Application to Isointense Infant Brain Segmentation.  . 330 $aThis book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v8679 606 $aComputer vision 606 $aPattern recognition systems 606 $aMedical informatics 606 $aData mining 606 $aArtificial intelligence 606 $aComputer graphics 606 $aComputer Vision 606 $aAutomated Pattern Recognition 606 $aHealth Informatics 606 $aData Mining and Knowledge Discovery 606 $aArtificial Intelligence 606 $aComputer Graphics 615 0$aComputer vision. 615 0$aPattern recognition systems. 615 0$aMedical informatics. 615 0$aData mining. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 14$aComputer Vision. 615 24$aAutomated Pattern Recognition. 615 24$aHealth Informatics. 615 24$aData Mining and Knowledge Discovery. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 676 $a610.285 702 $aWu$b Guorong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhang$b Daoqiang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhou$b Luping$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910481958303321 996 $aMachine Learning in Medical Imaging$92998079 997 $aUNINA