Image Analysis and Processing - ICIAP 2023 Workshops

Name: Image Analysis and Processing - ICIAP 2023 Workshops | Udine, Italy, September 11-15, 2023, Proceedings, Part II
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Udine, Italy, September 11-15, 2023, Proceedings, Part II

Gian Luca Foresti Andrea Fusiello Edwin Hancock(Editor)

Springer (Publisher)

Published on 20. January 2024

XXIII, 505 pages

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978-3-031-51026-7 (ISBN)

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Content

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Artificial Intelligence and Radiomics in Computer-Aided Diagnosis (AIRCAD)
Leukocytes Classification Methods: Effectiveness and Robustness in a Real Application Scenario
1 Introduction
2 Materials and Methods
2.1 Data Sets
2.2 Data Pre-processing
2.3 Methods
3 Experimental Evaluation
3.1 Experimental Setup
3.2 Experimental Results
4 Conclusions
References
Vision Transformers for Breast Cancer Histology Image Classification
1 Introduction
2 Background and Related Work
2.1 Deep Learning in Histopathology Images of Breast Cancer
2.2 Vision Transformers
2.3 BACH: Grand Challenge on Breast Cancer Histology Images
3 Methodology
4 Experimental Evaluation
5 Discussion and Conclusion
References
Editable Stain Transformation of Histological Images Using Unpaired GANs
1 Introduction
2 Related Work
2.1 Overview of xAI-CycleGAN
2.2 SeFa Algorithm for Editable Outputs
2.3 cCGAN for Stain Transformation
3 Methods
3.1 Dataset
3.2 Separating Structure from Style
3.3 Editable Generation Results Using SeFa
4 Results
5 Discussion
6 Future Work
References
Assessing the Robustness and Reproducibility of CT Radiomics Features in Non-small-cell Lung Carcinoma
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Segmentation
2.3 Image Pre-processing and Feature Extraction
2.4 Statistical Analysis
2.5 Feature Reduction, Selection, and Machine Learning
3 Results
3.1 Statistical Analysis
3.2 Feature Reduction, Selection, and Machine Learning
4 Discussion and Conclusions
References
Prediction of High Pathological Grade in Prostate Cancer Patients Undergoing [18F]-PSMA PET/CT: A Preliminary Radiomics Study
1 Introduction
2 Materials and Methods
2.1 PET/CT Imaging
2.2 Inclusion Criteria
2.3 The Gleason Score
2.4 Radiomics Analysis
3 Results
4 Discussions and Conclusion
References
MTANet: Multi-Type Attention Ensemble for Malaria Parasite Detection
1 Introduction
2 Related Work
3 Materials and Methods
3.1 Dataset
3.2 YOLO Detectors and YOLOv5
3.3 Convolutional Block Attention Module (CBAM)
3.4 Our Proposed Method: MTANet
3.5 Metrics
4 Experimental Results and Discussion
4.1 Experimental Setup
4.2 Experimental Results
5 Conclusions
References
Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights
1 Introduction
2 Methods
2.1 Dataset
2.2 Proposed Method
2.3 YOLO
3 Results
3.1 Breast Mass Detection
3.2 Breast Mass Classification
4 Discussion
5 Conclusion
References
Prostate Cancer Detection: Performance of Radiomics Analysis in Multiparametric MRI
1 Introduction
2 Materials and Methods
2.1 Population
2.2 MRI Technique
2.3 Manual Segmentation
2.4 Radiomics Features Extraction
2.5 Computational and Statistical Analyses
3 Results
3.1 Population
3.2 Performance of Radiomics
4 Discussion
5 Conclusion
References
Grading and Staging of Bladder Tumors Using Radiomics Analysis in Magnetic Resonance Imaging
1 Introduction
2 Materials and Methods
2.1 Population
2.2 MRI Technique
2.3 Qualitative Imaging Analysis
2.4 Segmentation and Radiomics Features Extraction
2.5 Computational and Statistical Analyses
3 Results
3.1 Population
3.2 Performance of Radiomics
4 Discussion
5 Conclusion
References
Combined Data Augmentation for HEp-2 Cells Image Classification
1 Introduction
2 Materials and Method
2.1 Dataset
2.2 Basic Image Manipulation
2.3 CVAE
2.4 Experimental Protocol
3 Results
4 Conclusions
References
Multi-modal Medical Imaging Processing (M3IP)
Harnessing Multi-modality and Expert Knowledge for Adverse Events Prediction in Clinical Notes
1 Introduction
2 Adverse Events Prediction: Task Formulation
3 Data and Information Extraction
3.1 Features of Interest
3.2 Features Extraction from Structured Data
3.3 Features Extraction from Unstructured Data
3.4 Multi-modality: Early and Late Fusion
4 Training
4.1 Datasets and Metrics
4.2 Classification Suite
4.3 Imbalance Learning
5 Results
6 Conclusion and Future Work
References
A Multimodal Deep Learning Based Approach for Alzheimer's Disease Diagnosis
1 Introduction
2 Materials and Methods
2.1 The Population
2.2 Data Preprocessing
2.3 The Neural Network
2.4 The Proposed Multimodal Approach
3 Experimental Set-Up
4 Results
5 Conclusion
References
A Systematic Review of Multimodal Deep Learning Approaches for COVID-19 Diagnosis
1 Introduction
2 Existing Literature Reviews
3 Materials and Methods
3.1 Data Sources
3.2 Search Strategy and Related Articles
4 Results and Discussion
5 Conclusions
References
A Multi-dimensional Joint ICA Model with Gaussian Copula
1 Introduction
2 Dataset
3 Methods
3.1 Conventional Joint ICA
3.2 Joint ICA with Different Variances
3.3 Proposed Copula Joint ICA
4 Implementation
4.1 Simulation
5 Results
6 Conclusion
References
Federated Learning in Medical Imaging and Vision (FEDMED)
Federated Learning for Data and Model Heterogeneity in Medical Imaging
1 Introduction
2 Related Work
2.1 Federated Learning
2.2 Model and Data Heterogeneity
3 Federated Learning with Heterogeneous Data and Models
3.1 Model Heterogeneity
3.2 Data and Labels Heterogeneity
4 Experimental Results
4.1 Datasets and Models
4.2 Comparison with State-of-the-Art Methods
5 Conclusion
References
Experience Sharing and Human-in-the-Loop Optimization for Federated Robot Navigation Recommendation
1 Introduction
2 Learning from Experience
3 Recommendation as the Silver Bullet
4 Human-in-the-Loop Optimization
5 Security-Related Considerations
6 Conclusion
References
FeDETR: A Federated Approach for Stenosis Detection in Coronary Angiography
1 Introduction
2 Related Work
3 Method
3.1 Problem Formulation
4 Experimental Evaluation
4.1 Dataset
4.2 Training Procedure
4.3 Results
5 Conclusion
References
FeDZIO: Decentralized Federated Knowledge Distillation on Edge Devices
1 Introduction
2 Related Work
3 Method
4 Performance Evaluation
4.1 Dataset
4.2 Training Procedure
4.3 Experimental Results
5 Conclusions
References
A Federated Learning Framework for Stenosis Detection
1 Introduction
2 Material and Methods
2.1 Datasets
2.2 Experimental Protocol
3 Results and Discussion
4 Conclusion
References
Benchmarking Federated Learning Frameworks for Medical Imaging Tasks
1 Introduction
2 Related Works
3 Experiments
4 Results
5 Conclusions
6 Future Works
References
Artificial Intelligence for Digital Humanities (AI4DH)
Examining the Robustness of an Ensemble Learning Model for Credibility Based Fake News Detection
1 Introduction
2 Related Works
2.1 The Liar Dataset
2.2 The FakeNewsNet Dataset
2.3 The Fake and Real News Dataset
2.4 Spawned Dataset
3 Methods
3.1 Two-Class Boosted Decision Tree (BDT)
3.2 Two Class Neural Network
3.3 Mixture of Experts
3.4 Two Class Logistic Regression
4 Experimental Results
4.1 Experiments Where the Train and Test Set are the Same
4.2 Experiments Where the Train and Test Set are Different
5 Conclusion
References
Prompt Me a Dataset: An Investigation of Text-Image Prompting for Historical Image Dataset Creation Using Foundation Models
1 Introduction
2 Current State of the Research
3 Pipeline
4 Text-Image Prompt Evaluation
4.1 A Note on the Environment
5 Conclusion
References
Artificial Intelligence in Art Generation: An Open Issue
1 Introduction
2 State of the Art
3 The Experts' Point of View
3.1 The Philosopher's Point of View
3.2 The Art Historian's Point of View
3.3 The Computer Scientist's Point of View
4 Experimental Results
4.1 The Art Exhibition
4.2 Users' Feedbacks
5 Conclusions
References
A Deep Learning Approach for Painting Retrieval Based on Genre Similarity
1 Introduction
2 Methodology and Experiments
2.1 Convolutional Neural Network
2.2 Dataset
2.3 Nearest Neighbour Algorithm and Similarity Measure
2.4 Experiments
3 Results
3.1 Classifier Performance
3.2 Comparison of CBIR Performance Before and After Fine-Tuning with Specific Domain Knowledge
3.3 Parameters Optimization of the Approximate Nearest Neighbour Algorithm
3.4 Introducing SimArt: A Web Application for Efficiently Searching Similar Artworks
4 Discussion and Conclusions
References
GeomEthics: Ethical Considerations About Using Artificial Intelligence in Geomatics
1 Introduction
2 The Use of Artificial Intelligence in Geomatics
3 Ethics of Artificial Intelligence in Geomatics
3.1 Geospatial Data Fairness
3.2 Local Identity
3.3 Geo-Privacy
4 Conclusions and Future Works
References
Fine Art Pattern Extraction and Recognition (FAPER)
Enhancing Preservation and Restoration of Open Reel Audio Tapes Through Computer Vision
1 Introduction
2 MPAI IEEE-CAE ARP
3 Video Analyser
3.1 ROI Detection
3.2 Detection of Irregularities
3.3 Resolution of Identified Issues
3.4 Irregularities Classification
4 Conclusions
References
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary Study
1 Introduction
2 Related Work
3 Materials
4 Methods
4.1 Caption Generation
4.2 Metadata Classification
5 Experiments
5.1 Experimental Setting
5.2 Results
6 Conclusion and Future Work
References
Progressive Keypoint Localization and Refinement in Image Matching
1 Introduction
1.1 Image Matching Perspectives
1.2 Common Ground of Deep and Non-deep Image Matching
1.3 Paper Contribution
2 Match Refinement Base Modules
2.1 Normalized Cross Correlation (NCC) Matching
2.2 Adaptive Least Square (ALS) Correlation Matching
2.3 Fast Affine Template Matching (FAsT-Match)
2.4 Parabolic Sub-pixel Peak Interpolation
2.5 Taylor Approximation Sub-pixel Peak Interpolation
2.6 Middle Homography (MiHo) Patch Normalization Updating
3 Evaluation
4 Conclusions and Future Works
References
Toward a System of Visual Classification, Analysis and Recognition of Performance-Based Moving Images in the Artistic Field
1 Introduction
2 Construction of the Research Object
3 Conceptual Framework Proposal
4 Objectives and Project Structure
References
CreatiChain: From Creation to Market
1 Introduction
2 Related Work
3 System Description
3.1 System Stack
3.2 Involved Applications
4 Architecture
5 Creation of Certified Digital Art Through Prompt Grammars and Generative AI
5.1 NFT Generation and Placement
6 Conclusion and Future Work
References
Towards Using Natural Images of Wood to Retrieve Painterly Depictions of the Wood of Christ's Cross
1 Introduction
2 Holy Wood: The Material of Christ's Cross
3 Experimental Setup
3.1 Databases & Tiling
4 Experimental Results
5 Conclusion
References
Pattern Recognition for Cultural Heritage (PatReCH)
Feature Relevance in Classification of 3D Stone from Ancient Wall Structures
1 Introduction
2 Stone Patches Data
3 Classification Results
4 Feature Importance
5 Conclusion
References
Gamification in Cultural Heritage: When History Becomes SmART
1 Introduction
2 Related Works
3 Proposed Approach
3.1 Inference Engine
3.2 User Interface
4 Case of Study
4.1 Internal Architecture
4.2 Gameplay
5 Results
5.1 Users Valuation
6 Conclusions
References
Classification of Turkish and Balkan House Architectures Using Transfer Learning and Deep Learning
1 Introduction
2 Previous Work
3 Dataset
4 Methods
5 Evaluation
5.1 Comparison of Training Results
5.2 Gradient-Weighted Class Activation Mapping (Grad-CAM)
5.3 Image Retrieval
6 Future Work
References
Method for Ontology Learning from an RDB: Application to the Domain of Cultural Heritage
1 Introduction
2 Related Works
2.1 DDL Conversion into TBOX Algorithm
2.2 DML Conversion into ABOX Algorithm
3 Implementation
4 Use Case
4.1 Database Porbec
4.2 Resulting Porbec Ontology
4.3 Evaluation
5 Conclusions
References
A Novel Writer Identification Approach for Greek Papyri Images
1 Introduction
2 Related Work
3 Data and Preprocessing
3.1 Reference Dataset: PapyRow
3.2 Data Processing
4 Experimental Method
4.1 Row/Patches Classification
4.2 Papyrus Classification
5 Experimental Results
5.1 PapyRow Rows Results
5.2 PapyRow Patches Results
5.3 Comparison
6 Conclusions and Future Work
References
Convolutional Generative Model for Pixel-Wise Colour Specification for Cultural Heritage
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Autoencoder Based Network
2.3 GANs
3 Experiments and Results
3.1 Autoencoder Results
3.2 GANs Results
3.3 Test on Real Data
4 Discussion
5 Conclusion
References
3D Modeling and Augmented Reality in Education: An Effective Application for the Museo dei Saperi e delle Mirabilia of the University of Catania
1 Introduction
2 Digital Skills in Education
3 The Project "Manufatti 3D al Museo dei Saperi e delle Mirabilie Siciliane'
3.1 Methodological Approach
4 SfM Photogrammetry for the Digitalization and Fruition of Museum Collections
4.1 Methodology
4.2 3D Acquisition and Processing
5 AR for the Enhancement and Fruition of Museum Collections
5.1 The Sketchfab Platform
6 Conclusions
References
Visual Processing of Digital Manuscripts: Workflows, Pipelines, Best Practices (ViDiScript)
Writer Identification in Historical Handwritten Documents: A Latin Dataset and a Benchmark
1 Introduction
2 Related Work
3 Proposed Method
3.1 AlexNet
3.2 DenseNet121
3.3 EfficientNet B3
3.4 VGG16
3.5 VGG19
4 Experiments
4.1 Dataset
4.2 Implementation Details
4.3 Performance Evaluation
5 Conclusion
References
Synthetic Lines from Historical Manuscripts: An Experiment Using GAN and Style Transfer
1 Introduction
2 Background and Related Work
2.1 Background
2.2 Related Work
3 Proposed Method
3.1 ScrabbleGAN
3.2 CycleGAN
4 Experimental Setup
5 Experiments
5.1 Task 1: Line Generation
5.2 Task 2: HTR Usage
6 Conclusion
References
Is ImageNet Always the Best Option? An Overview on Transfer Learning Strategies for Document Layout Analysis
1 Introduction
2 Related Works
3 Methods
3.1 Model Architecture
3.2 Datasets
3.3 Evaluation
3.4 Training and Fine-Tuning Setup
4 Results
5 Conclusion and Future Work
References
Correction to: Vision Transformers for Breast Cancer Histology Image Classification
Correction to: Chapter 2 in: G. L. Foresti et al. (Eds.): Image Analysis and Processing - ICIAP 2023 Workshops, LNCS 14366, https://doi.org/10.1007/978-3-031-51026-7_2
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Image Analysis and Processing - ICIAP 2023 Workshops

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