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Data Augmentation, Labelling, and Imperfections : Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu
Data Augmentation, Labelling, and Imperfections : Third MICCAI Workshop, DALI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings / / edited by Yuan Xue, Chen Chen, Chao Chen, Lianrui Zuo, Yihao Liu
Autore Xue Yuan
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (178 pages)
Disciplina 006
Altri autori (Persone) ChenChen
ChenChao
ZuoLianrui
LiuYihao
Collana Lecture Notes in Computer Science
Soggetto topico Image processing - Digital techniques
Computer vision
Artificial intelligence
Computers
Computer Imaging, Vision, Pattern Recognition and Graphics
Artificial Intelligence
Computing Milieux
ISBN 3-031-58171-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- URL: Combating Label Noise for Lung Nodule Malignancy Grading -- 1 Introduction -- 2 Method -- 2.1 Problem Definition and Overview -- 2.2 SCL Stage -- 2.3 MU Stage -- 3 Experiments and Results -- 3.1 Dataset and Experimental Setup -- 3.2 Comparative Experiments -- 3.3 Ablation Analysis -- 4 Conclusion -- References -- Zero-Shot Learning of Individualized Task Contrast Prediction from Resting-State Functional Connectomes -- 1 Introduction -- 2 Methods -- 3 Experimental Setup -- 3.1 Data -- 3.2 OPIC's Training -- 3.3 Baselines -- 3.4 Metrics -- 4 Results -- 4.1 In-Domain Prediction Quality -- 4.2 Out-of-Domain Prediction Quality -- 4.3 New Task Contrast from a Seen Task Group -- 5 Conclusion -- References -- Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis -- 1 Introduction -- 2 Methods -- 3 Experiments -- 4 Discussion -- References -- A Unified Approach to Learning with Label Noise and Unsupervised Confidence Approximation -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Noisy Labels and Confidence Score Approximation -- 3.2 Unsupervised Confidence Approximation Loss -- 3.3 Unsupervised Confidence Approximation Architecture -- 3.4 Confidence-Selective Prediction -- 3.5 Pixelwise UCA -- 4 Experimental Results -- 5 Conclusion -- References -- Transesophageal Echocardiography Generation Using Anatomical Models -- 1 Introduction -- 2 Methods -- 2.1 Pseudo-Image Generation -- 2.2 Image Synthesis -- 3 Results and Discussion -- 4 Conclusion -- References -- Data Augmentation Based on DiscrimDiff for Histopathology Image Classification -- 1 Introduction -- 2 Method -- 2.1 Synthesizing Histopathology Images Based on Diffusion Model -- 2.2 Post-discrimination Mechanism for Diffusion -- 3 Experiments -- 3.1 Datasets and Implementation -- 3.2 Result and Discussion.
3.3 Visualization of Class-Specific Image Features -- 4 Conclusion -- References -- Clinically Focussed Evaluation of Anomaly Detection and Localisation Methods Using Inpatient CT Head Data -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Anomaly Detection Models -- 5 Clinical Evaluation Methodology -- 6 Results -- 7 Conclusion -- References -- LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation -- 1 Introduction -- 1.1 Related Works -- 1.2 Contributions -- 2 Method -- 2.1 LesionMix -- 2.2 Lesion Populating -- 2.3 Lesion Inpainting -- 2.4 Lesion Load Distribution -- 2.5 Properties of LesionMix -- 3 Experiments -- 3.1 Data -- 3.2 Implementation Details -- 3.3 Results -- 4 Conclusion -- References -- Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports -- 1 Introduction -- 2 Methodology -- 3 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- Modular, Label-Efficient Dataset Generation for Instrument Detection for Robotic Scrub Nurses -- 1 Introduction -- 2 Dataset -- 2.1 Data Acquisition -- 2.2 Real Multi-instrument Data for Validation and Testing -- 2.3 Real Single-Instrument Images for Advanced MBOI -- 3 Experiments -- 3.1 Model and Hyperparameters -- 3.2 Synthetic Training Data from MBOI -- 3.3 Advancing Copy-Paste in MBOI -- 3.4 Effciency: Performance vs. Invested Resources -- 4 Results -- 4.1 Naive Insertion vs. Gaussian Blur and Poisson Blending -- 4.2 Impact of the Number of SI Images and Training Set Size -- 4.3 Evaluation of with Other Detectors Under Optimal Conditions -- 5 Conclusion -- References -- Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels -- 1 Introduction -- 2 Methodology -- 2.1 Preprocessing -- 2.2 Problem Formulation -- 2.3 Supervised Learning -- 2.4 Semi-supervised Learning.
3 Experiments and Results -- 3.1 Datasets -- 3.2 Experimental Setup -- 3.3 Evaluation Metrics -- 3.4 Qualitative Results and Analysis -- 3.5 Quantitative Results and Analysis -- 4 Conclusion -- References -- Proportion Estimation by Masked Learning from Label Proportion -- 1 Introduction -- 2 PD-L1 Tumor Proportion Estimation -- 3 Experiments -- 4 Conclusion -- References -- Active Learning Strategies on a Real-World Thyroid Ultrasound Dataset -- 1 Background -- 1.1 Active Learning -- 1.2 Active Learning Applied to Thyroid Ultrasound -- 2 Materials and Methods -- 2.1 Image Datasets -- 2.2 Rigged Draw Strategy -- 2.3 Supervised and Unsupervised Active Learning Strategies -- 3 Results -- 3.1 Supervised Strategies -- 3.2 Semi-supervised Strategies -- 4 Discussion -- References -- A Realistic Collimated X-Ray Image Simulation Pipeline -- 1 Introduction -- 2 Methods -- 2.1 Randomized Collimator Simulation Pipeline -- 2.2 Experiments -- 3 Results -- 3.1 Framework Validation -- 3.2 Network Evaluation -- 4 Discussion -- References -- Masked Conditional Diffusion Models for Image Analysis with Application to Radiographic Diagnosis of Infant Abuse -- 1 Introduction -- 2 Methods -- 2.1 Diffusion Model -- 2.2 Image Generation via Conditional Diffusion Model -- 3 Experiments -- 4 Results and Discussion -- 5 Conclusions -- References -- Self-supervised Single-Image Deconvolution with Siamese Neural Networks -- 1 Introduction and Related Work -- 2 Methods -- 3 Experiments -- 3.1 2D Dataset -- 3.2 3D Dataset -- 4 Discussion -- 5 Conclusion -- References -- Author Index.
Record Nr. UNINA-9910855369103321
Xue Yuan  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Legal Challenges of the Fourth Industrial Revolution : The European Union's Digital Strategy / / edited by Dário Moura Vicente, Sofia de Vasconcelos Casimiro, Chen Chen
The Legal Challenges of the Fourth Industrial Revolution : The European Union's Digital Strategy / / edited by Dário Moura Vicente, Sofia de Vasconcelos Casimiro, Chen Chen
Autore Moura Vicente Dário
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (355 pages)
Disciplina 343.099
Altri autori (Persone) de Vasconcelos CasimiroSofia
ChenChen
Collana Law, Governance and Technology Series
Soggetto topico Information technology - Law and legislation
Mass media - Law and legislation
Law - Europe
Technological innovations
Computers - Law and legislation
Business information services
Computational intelligence
IT Law, Media Law, Intellectual Property
European Law
Innovation and Technology Management
Legal Aspects of Computing
IT in Business
Computational Intelligence
ISBN 3-031-40516-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Part I - Content -- The Legal Challenges of the Fourth Industrial Revolution: Copyright in the Digital Single Market - between new uses of protected content and fairness considerations -- Due diligence obligations and liability of intermediary services: the Proposal for the EU Digital Services Act -- Legal challenges posed by the modern-day transportation services. A brief overview from the private law perspective -- The regulation of content moderation -- Part II - Economy -- The European Way to Regulate Big Tech: the EU’s Digital Markets Act -- “eCommerce and EU consumers' rights” -- Online platforms and taxes in the EU: a compatible match? -- Regulating Digital Advertising from the Perspective of the 4th Industrial Revolution -- Part III - Security -- The European Union Strategy for Cybersecurity -- Remarks on the use of biometric data systems (and facial recognition technologies) for law enforcement purposes: security implications of the Proposal for an EU Regulation on Artificial Intelligence -- Cyber operations threatening the European Union and its member states: the rise of the European Union as a cyber defence actor -- Part IV - People -- Data Protection Litigation System under the GDPR -- R2D: The Right to Disconnect from Work -- Is There a Need for an EU Catalogue of Fundamental Digital Rights? -- Countering terrorism propaganda online through TERREG and DSA: a battlefield or a breath of hope for our fundamental human rights? -- AI and Fundamental Rights: the People, the Conversations, and the Governance Challenges.
Record Nr. UNINA-9910742485203321
Moura Vicente Dário  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sociology of Migration and Post-Western Theory / / Laurence Roulleau-Berger, Liu Yuzhao
Sociology of Migration and Post-Western Theory / / Laurence Roulleau-Berger, Liu Yuzhao
Autore Bellot Marie
Pubbl/distr/stampa Lyon, : ENS Éditions, 2021
Descrizione fisica 1 online resource (384 p.)
Altri autori (Persone) BoubekerAhmed
ChenChen
ChunguangWang
FourotAude-Claire
Giraudo-BaujeuGrégory
HammoucheAbdelhafid
JunYan
KokoreffMichel
LiangSu
NengLiu
Rouleau-BergerLaurence
Roulleau-BergerLaurence
ShidingLiu
TucciIngrid
YeqinZhao
YihanXiong
YingchunJi
YongLi
YuzhaoLiu
ZaniBeatrice
ZhenLi
ZhongweiSun
Collana De l’Orient à l’Occident
Soggetto topico Sociology
sociologie des migrations
sociologie internationale
théorie post-occidentale
France
Chine
sociology of migration
international sociology
post-western theory
China
Soggetto non controllato sociology of migration
international sociology
post-western theory
France
China
ISBN 979-1-03-620406-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910502602503321
Bellot Marie  
Lyon, : ENS Éditions, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Visible Light Communication (VLC)
Visible Light Communication (VLC)
Autore Chen Chen
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato visible light communication (VLC)
dimming control
constant transmission efficiency
error performance
light-emitting diode (LED)
visible light communications
deep learning
bit error rate
orthogonal frequency division multiplexing
index modulation
POF
FSO
LiFi
LED
orthogonal frequency division multiplexing (OFDM)
power efficiency
peak-to-average-power ratio (PAPR)
pre-distorted enhanced
underwater optical wireless communication (UOWC)
ADO-OFDM
gamma-gamma function
full-duplex
long-reach
photon counting
vehicular visible light communication (VVLC)
intelligent reflecting surface (IRS)
the number of mirrors
energy efficiency (EE)
carrierless amplitude and phase (CAP) modulation
pairwise coding (PWC)
dual-mode index modulation (DM)
chaotic encryption
visible light positioning (VLP)
free-space communication
RGB LED
non-orthogonal multiple access (NOMA)
superposition constellation adjustment
successive interference cancellation
bit error ratio
NOMA triangle
underwater wireless optical communication
temporal dispersion
bandwidth limitation
Monte Carlo method
maximum likelihood sequence estimation
visible light communication
nonlinear equalization
reservoir computing
neural network (NN)
autoencoder (AE)
transceiver design
nonlinearity
VLC
predistortion
coefficient approximation
BLSTM
orthogonal frequency-division multiplexing
sampling frequency offset
visible light communications (VLC)
mmWave communications
channel modeling
channel propagation characteristics
path loss
delay spread (DS)
Ricean K-factor
cluster characteristics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Visible Light Communication
Record Nr. UNINA-9910576877303321
Chen Chen  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui