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Organ Segmentation

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Showing 201–250 of 305 papers

TitleStatusHype
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware SegmentationCode0
Multi-organ Segmentation Network with Adversarial Performance Validator—0
Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in CT—0
Exemplar Learning for Medical Image Segmentation—0
A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging—0
Learning Incrementally to Segment Multiple Organs in a CT Image—0
Quality or Quantity: Toward a Unified Approach for Multi-organ Segmentation in Body CT—0
A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning—0
ViTBIS: Vision Transformer for Biomedical Image Segmentation—0
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ SegmentationCode0
Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation—0
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical ImageCode0
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory RequirementsCode0
Explainable multiple abnormality classification of chest CT volumesCode0
Robust deep learning-based semantic organ segmentation in hyperspectral imagesCode0
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation—0
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images—0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—0
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ SegmentationCode0
MS-KD: Multi-Organ Segmentation with Multiple Binary-Labeled Datasets—0
Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks—0
VTBIS: Vision Transformer for Biomedical Image Segmentation—0
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation—0
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift—0
TransClaw U-Net: Claw U-Net with Transformers for Medical Image SegmentationCode0
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images—0
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images—0
More than Encoder: Introducing Transformer Decoder to Upsample—0
A multi-stage GAN for multi-organ chest X-ray image generation and segmentation—0
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation—0
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging—0
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation—0
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising ModelCode0
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation—0
Uncertainty-aware Incremental Learning for Multi-organ Segmentation—0
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets—0
Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative StudyCode0
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical PriorCode0
Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation—0
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data—0
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation—0
Self-Supervised Learning Based on Spatial Awareness for Medical Image AnalysisCode0
Multi-organ Segmentation via Co-training Weight-averaged Models from Few-organ Datasets—0
Continual Class Incremental Learning for CT Thoracic Segmentation—0
Unified cross-modality feature disentangler for unsupervised multi-domain MRI abdomen organs segmentation—0
Marginal loss and exclusion loss for partially supervised multi-organ segmentation—0
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation—0
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation—0
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis—0
Organ Segmentation From Full-size CT Images Using Memory-Efficient FCN—0
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