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Organ Segmentation

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Showing 101–150 of 305 papers

TitleStatusHype
Deep Mutual Learning among Partially Labeled Datasets for Multi-Organ Segmentation—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Multi-organ Segmentation Network with Adversarial Performance Validator—0
Deep Learning in Multi-organ Segmentation—0
Deep Learning for Pancreas Segmentation: a Systematic Review—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning—0
Automated Mouse Organ Segmentation: A Deep Learning Based Solution—0
Eff-3DPSeg: 3D organ-level plant shoot segmentation using annotation-efficient point clouds—0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans—0
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation—0
Enhancing Coronary Artery Calcium Scoring via Multi-Organ Segmentation on Non-Contrast Cardiac Computed Tomography—0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation—0
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation—0
Ensemble Methods for Multi-Organ Segmentation in CT Series—0
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging—0
Exemplar Learning for Medical Image Segmentation—0
BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty—0
Application analysis of ai technology combined with spiral CT scanning in early lung cancer screening—0
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images—0
Deep learning and its application to medical image segmentation—0
Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation—0
Fully Automated Organ Segmentation in Male Pelvic CT Images—0
Fuzzy Attention-based Border Rendering Network for Lung Organ Segmentation—0
Deep convolutional networks for pancreas segmentation in CT imaging—0
DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling—0
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation—0
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss—0
A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging—0
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images—0
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation—0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans—0
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans—0
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation—0
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans—0
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation—0
Continual Class Incremental Learning for CT Thoracic Segmentation—0
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation—0
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images—0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation—0
Liver segmentation in CT images using three dimensional to two dimensional fully convolutional network—0
Large-Kernel Attention for 3D Medical Image Segmentation—0
Large Batch and Patch Size Training for Medical Image Segmentation—0
Label-efficient Multi-organ Segmentation Method with Diffusion Model—0
COBRA: Cpu-Only aBdominal oRgan segmentAtion—0
AnatoMix: Anatomy-aware Data Augmentation for Multi-organ Segmentation—0
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