دانلود کتاب Lesion Segmentation in Surgical and Diagnostic Applications: MICCAI 2022 Challenges, CuRIOUS 2022, KiPA 2022 and MELA 2022, Held in Conjunction with MICCAI 2022 Singapore, September 18–22, 2022 Proceedings

فهرست مطالب :

Kidney Parsing Challenge 2022: Multi-structure Segmentation for Renal Cancer Treatment (KiPA 2022)
Organization
Correction of Brain Shift with Intra-Operative Ultrasound Segmentation Challenge (CuRIOUS-SEG 2022)
Organization
Mediastinal Lesion Analysis Challenge (MELA 2022)
Organization
Contents
Kidney Parsing Challenge 2022: Multi-Structure Segmentation for Renal Cancer Treatment (KiPA 2022)
A Segmentation Network Based on 3D U-Net for Automatic Renal Cancer Structure Segmentation in CTA Images
1 Introduction
2 Method
2.1 Dataset and Pre-processing
2.2 Proposed Network Architecture
2.3 Implement Details
2.4 Loss Function
2.5 Inference and Post-processing
3 Results
4 Discussion and Conclusion
References
Boundary-Aware Network for Kidney Parsing
1 Introduction
2 Dataset
3 Method
3.1 Shared Encoder
3.2 Boundary Decoder
3.3 Segmentation Decoder
3.4 Training and Inference
4 Experiments and Results
4.1 Implementation Details and Evaluation Metric
4.2 Results
5 Conclusion
References
A CNN-Based Multi-stage Framework for Renal Multi-structure Segmentation
1 Introduction
2 Methods
2.1 Loss Function
2.2 Multi-stage Framework
2.3 Pipeline
3 Experiments
3.1 Dataset and Evaluation Metrics
3.2 Implementation Details
3.3 Results
4 Conclusion
References
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation
1 Introduction
2 Methods
2.1 Preprocessing
2.2 nn-UNet Backbone
2.3 Channel Extending (CE)
2.4 Axial Attention Catching Module (AAC)
2.5 Loss Function
3 Experiments
3.1 Data Preparation
3.2 Implementation Details
4 Results and Discussions
4.1 Ablation Experiments
4.2 Comparison Experiments
5 Conclusion
References
Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment
1 Introduction
2 Dataset
3 Methods
3.1 The Network
3.2 Data Preprocessing and Augmentation
3.3 Training Details
4 Results
5 Conclusion
References
Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment
1 Introduction
2 Data
3 Methodology
3.1 Preprocessing
3.2 Post-processing
3.3 Proposed Approach
4 Results
5 Discussion
6 Conclusions
References
The 2022 Correction of Brain Shift with Intra-Operative Ultrasound-Segmentation Challenge (CuRIOUS-SEG 2022)
Segmentation of Intra-operative Ultrasound Using Self-supervised Learning Based 3D-ResUnet Model with Deep Supervision
1 Introduction
2 Methods
3 Dataset
4 Implementation Details
5 Results of a Validation Dataset
6 Conclusion
References
Ultrasound Segmentation Using a 2D UNet with Bayesian Volumetric Support
1 Introduction and Related Work
2 Method
2.1 Network Architecture
3 Experiments
3.1 Training Setup and Strategy
3.2 Results
4 Conclusion
References
Segmentation of Intraoperative 3D Ultrasound Images Using a Pyramidal Blur-Pooled 2D U-Net
1 Introduction
2 Methodology
2.1 Dataset
2.2 Network Architecture
2.3 Training Strategy
2.4 Augmentation
3 Results
4 Discussion and Conclusions
References
The 2022 Mediastinal Lesion Analysis Challenge (MELA 2022)
Accurate Detection of Mediastinal Lesions with nnDetection
1 Introduction
2 Methods
2.1 Challenge Specific Modifications
3 Experiments and Results
4 Discussion
References
Author Index