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000799838 019__ $$a1005454468
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000799838 0247_ $$a10.1007/978-3-319-67389-9$$2doi
000799838 035__ $$aSP(OCoLC)on1003646157
000799838 035__ $$aSP(OCoLC)1003646157$$z(OCoLC)1005454468
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000799838 08204 $$a006.6$$223
000799838 1112_ $$aMLMI (Workshop)$$n(8th :$$d2017 :$$cQuébec, Québec)
000799838 24510 $$aMachine learning in medical imaging :$$b8th International Workshop, MLMI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings /$$cQian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki (eds.).
000799838 2463_ $$aMLMI 2017
000799838 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000799838 300__ $$a1 online resource (xv, 391 pages) :$$billustrations.
000799838 336__ $$atext$$btxt$$2rdacontent
000799838 337__ $$acomputer$$bc$$2rdamedia
000799838 338__ $$aonline resource$$bcr$$2rdacarrier
000799838 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v10541
000799838 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
000799838 500__ $$aInternational conference proceedings.
000799838 500__ $$aIncludes author index.
000799838 5050_ $$aFrom Large to Small Organ Segmentation in CT Using Regional Context -- Motion Corruption Detection in Breast DCE-MRI -- Detection and Localization of Drosophila Egg Chambers in Microscopy Images -- Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-specific Coronary Calcium Scoring -- Atlas of Classifiers for Brain MRI Segmentation -- Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis -- Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease -- Multi-Factorial Age Estimation from Skeletal and Dental MRI Volumes -- Automatic Classification of Proximal Femur Fractures Based on Attention Models -- Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation -- Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble -- STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion -- Classification of Alzheimer's Disease by Cascaded Convolutional Neural Networks Using PET Images -- Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images -- Multi-Scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base -- Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-Status Dementia Diagnosis -- 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels -- Efficient Groupwise Registration for Brain MRI by Fast Initialization -- Sparse Multi-View Task-centralized Learning for ASD Diagnosis -- Inter-Subject Similarity Guided Brain Network Modelling for MCI Diagnosis -- Scalable and Fault Tolerant Platform for Distributed Learning on Private Medical Data -- Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images -- Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity -- Gradient Boosted Trees for Corrective Learning -- Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis -- A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling -- Collage CNN for Renal Cell Carcinoma Detection from CT -- Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images -- Localizing Cardiac Structures in Fetal Heart Ultrasound Video -- Deformable Registration Through Learning of Context-Specific Metric Aggregation -- Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-learning Based Cascade Framework -- 3D U-net with Multi-Level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images -- Indecisive Trees for Classification and Prediction of Knee Osteoarthritis -- Whole Brain Segmentation and Labeling from CT using synthetic MR Images -- Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification -- Fusion of High-order and Low-order Effective Connectivity Networks for MCI Classification -- Novel Effective Connectivity Network Inference for MCI Identification -- Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network -- Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT Images -- Deep-Fext: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction -- Product Space Decompositions for Continuous Representations of Brain Connectivity -- Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks -- Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging -- Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks.
000799838 506__ $$aAccess limited to authorized users.
000799838 520__ $$aThis book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
000799838 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 14, 2017).
000799838 650_0 $$aMachine learning$$vCongresses.
000799838 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
000799838 650_0 $$aArtificial intelligence$$xMedical applications$$vCongresses.
000799838 7001_ $$aWang, Qian,$$eeditor.
000799838 7001_ $$aShi, Yinghuan,$$eeditor.
000799838 7001_ $$aSuk, Heung-Il,$$eeditor.
000799838 7001_ $$aSuzuki, Kenji$$c(Professor of engineering),$$eeditor.
000799838 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(20th :$$d2017 :$$cQuébec, Québec),$$jjointly held conference.
000799838 77608 $$iPrint version:$$z9783319673882$$z3319673882$$w(OCoLC)1000578424
000799838 830_0 $$aLecture notes in computer science ;$$v10541.
000799838 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000799838 852__ $$bebk
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000799838 980__ $$aBIB
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