01295nam--2200349---450-99000189157020331620040730170059.0000189157USA01000189157(ALEPH)000189157USA0100018915720040730d1969----km-y0itay0103----bafreCH||||||||001yy<<Le>> bel inconnu, ou ou Giglain fils de messire Gauvain et de la Fee aux blanches mainspoeme de la Table rondeRenaut de Beaujeupublie d'apres le manuscrit unique de Londres avec une introduction et un glossaire par C. HippeauGenèveSlatkine Reprints1969XXXIV, 330 p.22 cmCollection des poètes français du Moyen Âge3Ripr. facs. dell'ed. : Caen ; Paris : [s.n.], 19692001Collection des poètes français du Moyen Âge32001001-------2001Renaut de Beaujeu440597ITsalbc990001891570203316XII T Coll. 3/357819 L.M.XII TBKUMASIAV71020040730USA011700Bel inconnu, ou ou Giglain fils de messire Gauvain et de la Fee aux blanches mains953738UNISA07683nam 2200541 450 99649035740331620230227131639.03-031-17721-5(MiAaPQ)EBC7102416(Au-PeEL)EBL7102416(CKB)24950559100041(PPN)264953460(EXLCZ)992495055910004120230227d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApplications of medical artificial intelligence first international workshop, AMAI 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings /edited by Shandong Wu, Behrouz Shabestari, and Lei XingCham, Switzerland :Springer,[2022]©20221 online resource (171 pages)Lecture Notes in Computer Science Ser. ;v.13540Print version: Wu, Shandong Applications of Medical Artificial Intelligence Cham : Springer,c2022 9783031177200 Includes bibliographical references and index.Intro -- Preface -- Organization -- Contents -- Increasing the Accessibility of Peripheral Artery Disease Screening with Deep Learning -- 1 Problem -- 2 Related Work -- 3 Data Collection Study -- 4 System Development -- 5 Validation Study -- 6 Conclusion -- References -- Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA -- 1 Introduction -- 2 Automated Assessment of CAD in CCTA -- 2.1 Straightened Representation of the Coronary Vessels -- 2.2 Representing Ground-Truth Segmentation as a 3D Mesh -- 2.3 Segmentation of Vessels Using U-Nets in Upsampled CTTA -- 2.4 Blood Flow Simulation -- 3 Experimental Validation -- 4 Conclusions and Future Work -- References -- Machine Learning for Dynamically Predicting the Onset of Renal Replacement Therapy in Chronic Kidney Disease Patients Using Claims Data -- 1 Introduction -- 2 Methods -- 2.1 Dataset Description -- 2.2 Task Definition -- 2.3 Data Representation and Processing -- 2.4 Model Description -- 2.5 Model Evaluation -- 3 Experiments and Results -- 3.1 Study Population and Dataset -- 3.2 Model Performance -- 4 Conclusions -- References -- Uncertainty-Aware Geographic Atrophy Progression Prediction from Fundus Autofluorescence -- 1 Introduction -- 2 Method -- 2.1 Data -- 2.2 Model Development -- 2.3 Uncertainty Estimation Using Deep Ensemble -- 3 Results -- 4 Conclusions -- References -- Automated Assessment of Renal Calculi in Serial Computed Tomography Scans -- 1 Introduction -- 1.1 Our Contributions -- 2 Materials and Methods -- 2.1 Data -- 2.2 Calculi Detection and Segmentation -- 2.3 Registration and Stone Matching -- 2.4 Manual Review and Tracking -- 2.5 Evaluation of Performance -- 2.6 Statistical Analysis -- 3 Results -- 3.1 Cohort Characteristics -- 3.2 Performance of the Stone Detection and Segmentation -- 3.3 Performance of Stone Tracking -- 4 Discussion -- References.Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning -- 1 Introduction -- 2 Methods and Materials -- 2.1 Data -- 2.2 Prediction Models -- 2.3 Model Evaluation -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 4.1 ORN Prediction -- 4.2 Study Limitations and Future Work -- 5 Conclusion -- References -- Analysis of Potential Biases on Mammography Datasets for Deep Learning Model Development -- 1 Introduction -- 2 Materials and Methods -- 2.1 Mammography Dataset -- 2.2 Bias Analysis -- 2.3 Bias Correction Techniques -- 2.4 Experimental Setup -- 3 Results and Discussion -- 4 Conclusions -- References -- ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks -- 1 Introduction -- 2 Methodology -- 2.1 Generator and Discriminator -- 2.2 Objective Function and Individual Losses -- 2.3 Adversarial Attacks -- 3 Experiments -- 3.1 Data Set Preparation -- 3.2 Hyper-parameters -- 3.3 Quantitative Evaluation -- 3.4 Qualitative Evaluation -- 4 Conclusions and Future Work -- References -- CADIA: A Success Story in Breast Cancer Diagnosis with Digital Pathology and AI Image Analysis -- 1 Introduction -- 2 Methods -- 2.1 Starting Point Analysis and Functional Requirement Collection -- 2.2 Sample Selection and Collection -- 2.3 Digital Image Annotation -- 2.4 Model Development -- 2.5 Model Deployment and Integration -- 3 Results -- 4 Conclusions and Future Perspectives -- References -- Was that so Hard? Estimating Human Classification Difficulty -- 1 Introduction -- 2 Estimating Image Difficulty -- 3 Datasets -- 4 Experiments -- 5 Results -- 6 Discussion and Conclusion -- References -- A Deep Learning-Based Interactive Medical Image Segmentation Framework -- 1 Introduction -- 2 Related Work -- 3 Applicative Scope -- 4 Methodology -- 4.1 System.4.2 Training with Dynamic Data Generation -- 5 Experimental Results -- 5.1 Setup -- 5.2 Automated Evaluation -- 5.3 User Evaluation -- 6 Conclusion -- References -- Deep Neural Network Pruning for Nuclei Instance Segmentation in Hematoxylin and Eosin-Stained Histological Images -- 1 Introduction -- 2 Method -- 2.1 Datasets -- 2.2 Segmentation and Regression Models -- 2.3 Pruning -- 2.4 Merging and Post-processing -- 2.5 Evaluation Metrics -- 3 Results and Discussion -- 4 Conclusion -- References -- Spatial Feature Conservation Networks (SFCNs) for Dilated Convolutions to Improve Breast Cancer Segmentation from DCE-MRI -- 1 Introduction -- 2 Methods -- 2.1 Compensation Module -- 2.2 Network Architecture -- 2.3 Performance Evaluation -- 2.4 Image Dataset and Data Preparation -- 3 Results -- 4 Discussion and Conclusion -- References -- The Impact of Using Voxel-Level Segmentation Metrics on Evaluating Multifocal Prostate Cancer Localisation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Prostate Lesion Segmentation for Procedure Planning -- 2.2 Voxel-Level Segmentation Metrics -- 2.3 Lesion-Level Object Detection Metrics -- 2.4 Lesion Detection Metrics for Multifocal Segmentation Output -- 2.5 Correlation, Pairwise Agreement and Impact on Evaluation -- 3 Results -- 3.1 Comparison Between DSC and HD -- 3.2 Comparison Between Voxel- and Lesion-Level Metrics -- 4 Conclusion -- References -- OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs -- 1 Introduction -- 2 Methods -- 2.1 Feature Extractor -- 2.2 Point Detection Head -- 3 Experiments -- 3.1 Datasets -- 3.2 Evaluation Metrics -- 3.3 Implementation Details -- 3.4 Comparison to Other Methods -- 3.5 A Closer Look at ET-tube vs. T-tube Detection Performance -- 4 Conclusion -- References -- Wavelet Guided 3D Deep Model to Improve Dental Microfracture Detection.1 Introduction -- 2 Materials -- 3 Methods -- 4 Results and Discussion -- References -- Author Index.Lecture Notes in Computer Science Ser.Artificial intelligenceMedical applicationsArtificial intelligenceMedical applicationsCongressesDiagnostic imagingData processingCongressesArtificial intelligenceMedical applications.Artificial intelligenceMedical applicationsDiagnostic imagingData processing006.3Shabestari BehrouzXing LeiWu ShandongMiAaPQMiAaPQMiAaPQBOOK996490357403316Applications of medical artificial intelligence3034159UNISA03594oam 2200733I 450 991077994420332120230422042416.01-134-69262-51-280-31879-10-203-44905-30-203-26832-610.4324/9780203449059 (CKB)111056485534652(EBL)166981(OCoLC)264500888(SSID)ssj0000115016(PQKBManifestationID)11142200(PQKBTitleCode)TC0000115016(PQKBWorkID)10137862(PQKB)10794359ebr2003693(MiAaPQ)EBC166981(Au-PeEL)EBL166981(CaPaEBR)ebr10070475(CaONFJC)MIL31879(OCoLC)52058664(EXLCZ)9911105648553465220180331d1999 uy 0engur|n|---|||||txtccrThe British industrial decline /edited by Jean-Pierre Dormois and Michael DintenfassLondon ;New York :Routledge,1999.1 online resource (247 p.)Routledge explorations in economic history ;10Description based upon print version of record.1-138-86822-1 0-415-17231-4 Includes bibliographical references and index.Book Cover; Title; Contents; Contributors; Foreword by; Introduction; The literature of decline; Converging accounts, misleading metaphors and persistent doubts: reflections on the historiography of Britain's 'decline'; 1066 and a wave of gadgets: the achievements of British growth; Economic growth and performance; Industrial performance, the infrastructure and government policy; Competitiveness and growth: new perspectives on the late Victorian and Edwardian economy; Flagging or failing? British economic performance, 1880 1914; Technology and industryThe audit of the Great War on British technologyThe balance of technological transfers 1870 1914; Regional vs national perspectives on economic 'decline' in late Victorian and Edwardian Britain; Institutions and culture; Education and economic decline 1870 1914: an innocent suspect?; The voice of industry and the ethos of decline: business citizenship, public service and the making of a British industrial elite; The City of London, 1880 1914: tradition and innovation; A French perspective on the British 'decline'; France's experience of industrial retardation during the Belle EpoqueIndex of namesThis book sets out the present state of the discussion of the decline in British industry and introduces new directions in which the debate is now proceeding.Routledge explorations in economic history ;10.IndustriesGreat BritainIndustrial policyGreat BritainIndustrial productivityGreat BritainGreat BritainEconomic conditions19th centuryRegional disparitiesGreat BritainEconomic conditions20th centuryRegional disparitiesIndustriesIndustrial policyIndustrial productivity338/.00941Dormois Jean-Pierre932251Dintenfass Michael1952-140651MiAaPQMiAaPQMiAaPQBOOK9910779944203321The British industrial decline3803766UNINA