04758nam 2201429z- 450 991055743510332120231214133029.0(CKB)5400000000043372(oapen)https://directory.doabooks.org/handle/20.500.12854/76739(EXLCZ)99540000000004337220202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDeep Learning in Medical Image AnalysisBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 electronic resource (458 p.)3-0365-1469-4 3-0365-1470-8 The accelerating power of deep learning in diagnosing diseases will empower physicians and speed up decision making in clinical environments. Applications of modern medical instruments and digitalization of medical care have generated enormous amounts of medical images in recent years. In this big data arena, new deep learning methods and computational models for efficient data processing, analysis, and modeling of the generated data are crucially important for clinical applications and understanding the underlying biological process. This book presents and highlights novel algorithms, architectures, techniques, and applications of deep learning for medical image analysis.interpretable/explainable machine learningimage classificationimage processingmachine learning modelswhite boxblack boxcancer predictiondeep learningmultimodal learningconvolutional neural networksautismfMRItexture analysismelanomaglcm matrixmachine learningclassifiersexplainabilityexplainable AIXAImedical imagingdiagnosisARMDchange detectionunsupervised learningmicrowave breast imagingimage reconstructiontumor detectiondigital pathologywhole slide image processingmultiple instance learningdeep learning classificationHER2medical imagestransfer learningoptimizersneo-adjuvant treatmenttumour cellularitycancerbreast cancerdiagnosticsimagingcomputationartificial intelligence3D segmentationactive surfacediscriminant analysisPET imagingmedical image analysisbrain tumorcervical cancercolon cancerlung cancercomputer visionmusculoskeletal imageslung disease detectiontaxonomyconvolutional neural networkCycleGANdata augmentationdermoscopic imagesdomain transfermacroscopic imagesskin lesion segmentationinfection detectionCOVID-19X-ray imagesbayesian inferenceshifted-scaled dirichlet distributionMCMCgibbs samplingobject detectionsurgical toolsopen surgeryegocentric cameracomputers in medicinesegmentationMRIECG signal detectionportable monitoring devices1D-convolutional neural networkmedical image segmentationdomain adaptationmeta-learningU-Netcomputed tomography (CT)magnetic resonance imaging (MRI)low-dosesparse-anglequantitative comparisonZhang Yudongedt950777Gorriz Juan ManueledtDong ZhengchaoedtZhang YudongothGorriz Juan ManuelothDong ZhengchaoothBOOK9910557435103321Deep Learning in Medical Image Analysis3023595UNINA02125nam0 2200481 i 450 VAN012404520230704094349.421N978331964069320191007d2017 |0itac50 baengCH|||| |||||Partial Least Squares Path ModelingBasic Concepts, Methodological Issues and ApplicationsHengky Latan, Richard Noonan editorsChamSpringer2017xxxvii, 414 p.ill.24 cmVAN0235873Partial Least Squares Path Modeling156247962HxxMultivariate analysis [MSC 2020]VANC026440MF65CxxProbabilistic methods, stochastic differential equations [MSC 2020]VANC028329MF62FxxParametric inference [MSC 2020]VANC031220MFAnalysis of mediationKW:KConsistent ordinal partial least squaresKW:KFactor-based PLS-SEMKW:KHierarchical analysisKW:KPLS and computingKW:KPLS path modeling for non-metric dataKW:KPLS-SEMKW:KPartial least squares path modelingKW:KPartial least squares with latent variablesKW:KPredictive path modelingKW:KStructural Equation ModelingKW:KUnobserved heterogeneityKW:KCHChamVANL001889LatanHengkyVANV095516NoonanRichardVANV095517Springer <editore>VANV108073650ITSOL20240614RICAhttp://doi.org/10.1007/978-3-319-64069-3E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0124045BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-book 0837 08eMF837 20191007 Partial Least Squares Path Modeling1562479UNICAMPANIA06473nam 22007455 450 991029860300332120200702223804.03-319-72059-710.1007/978-3-319-72059-3(CKB)4100000001795154(DE-He213)978-3-319-72059-3(MiAaPQ)EBC5219492(PPN)223957380(EXLCZ)99410000000179515420180112d2018 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierCFD Modeling and Simulation in Materials Processing 2018 /edited by Laurentiu Nastac, Koulis Pericleous, Adrian S. Sabau, Lifeng Zhang, Brian G. Thomas1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XIV, 241 p. 144 illus.)The Minerals, Metals & Materials Series,2367-11813-319-72058-9 Includes bibliographical references and indexes.Part 1. Casting and Solidification: I -- Numerical Simulation on Solidification Structure of 30Cr2Ni4MoV Steel Under Different Temperature Gradient Using Procast Software -- The Influence of Coil Configuration on Fluid Flow and Solidification of Electromagnetically Stirred Aluminum Alloys -- Effect of Hook Formation during Initial Solidification on Distribution of Subsurface Inclusions in Ultralow Carbon Steel Slabs -- Part 2. Casting and Solidification: II -- Numerical Investigation on the Effect of Steel Strip Feeding on Solidification in Continuous Casting -- Numerical Modeling and Experimental Verification of Macrosegregation and CET Predictions in Large Steel Roll Ingots -- Numerical Simulation of Electromagnetic and Heat Transfer Phenomena in Inductively Heated Risers -- Part 3. Processing: I -- A Multiphase CFD Model for the Prediction of Particulate Accumulation in a Laser Powder Bed Fusion Process -- CFD Modelling of High Pressure Gas Atomization of Liquid Metals -- Computational Analysis of Thermo-fluid Dynamics with Metallic Powder in SLM -- Evaporation and Diffusion of Mn in Inert Systems -- Part 4. Processing: II -- Recent Development and Applications of CFD Simulation for Friction Stir Welding -- Modeling of Argon Gas Behavior in Continuous Casting of Steel -- CFD Modeling of Transport Phenomena and Inclusion Removal in a Gas-stirred Ladle -- An Innovative Modeling Approach for Predicting the Desulfurization Kinetics in an Argon-Stirred Ladle Furnace -- Simulation of Non-metallic Inclusion Deposition and Clogging of Nozzle -- Research on the Flow Properties and Erosion Characteristics in Combined Blown Converter at Steelmaking Temperature -- Part 5. Processing: III -- Effect of Carbide Configuration on the Current Distribution in Submerged Arc Furnaces for Silicon Production – A Modelling Approach -- Investigation of Combustion and Heat Transfer in an Industrial Reheating Furnace Using CFD -- Finite Element Modelling of Electrokinetic Deposition of Zinc on Mild Steel with ZnO-Citrus Sinensis as nano-additive -- Implementing CFD Modelling to Address Defect Formation in Core Injection Moulding -- Numerical Simulation of Turbulence Flow and Solidification in a Bloom Continuous Casting Mould with Electromagnetic Stirring -- Numerical Analysis of Heat and Mass Transfer on the Self-densification of Metal Hydride Tank.This collection presents contributions on computational fluid dynamics (CFD) modeling and simulation of engineering processes from researchers and engineers involved in the modeling of multiscale and multiphase phenomena in material processing systems.    The following processes are covered: Additive Manufacturing (Selective Laser Melting and Laser Powder Bed Fusion); Ironmaking and Steelmaking (Ladle Metallurgical Furnace, EAF, Continuous Casting, Blown Converter, Reheating Furnace, Rotary Hearth Furnace); Degassing; High Pressure Gas Atomization of Liquid Metals; Electroslag Remelting; Electrokinetic Deposition; Friction Stir Welding; Quenching; High Pressure Die Casting; Core Injection Molding; Evaporation of Metals; Investment Casting; Electromagnetic Levitation; Ingot Casting; Casting and Solidification with External Field (electromagnetic stirring and ultrasonic cavitation) Interaction and Microstructure Evolution   The collection also covers applications of CFD to engineering processes, and demonstrates how CFD can help scientists and engineers to better understand the fundamentals of engineering processes.The Minerals, Metals & Materials Series,2367-1181MetalsMaterials scienceTribologyCorrosion and anti-corrosivesCoatingsSociophysicsEconophysicsMetallic Materialshttps://scigraph.springernature.com/ontologies/product-market-codes/Z16000Characterization and Evaluation of Materialshttps://scigraph.springernature.com/ontologies/product-market-codes/Z17000Tribology, Corrosion and Coatingshttps://scigraph.springernature.com/ontologies/product-market-codes/Z15000Data-driven Science, Modeling and Theory Buildinghttps://scigraph.springernature.com/ontologies/product-market-codes/P33030Metals.Materials science.Tribology.Corrosion and anti-corrosives.Coatings.Sociophysics.Econophysics.Metallic Materials.Characterization and Evaluation of Materials.Tribology, Corrosion and Coatings.Data-driven Science, Modeling and Theory Building.621.4023Nastac Laurentiuedthttp://id.loc.gov/vocabulary/relators/edtPericleous Koulisedthttp://id.loc.gov/vocabulary/relators/edtSabau Adrian Sedthttp://id.loc.gov/vocabulary/relators/edtZhang Lifengedthttp://id.loc.gov/vocabulary/relators/edtThomas Brian Gedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910298603003321CFD Modeling and Simulation in Materials Processing 20181563927UNINA