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Organ Segmentation

Papers

Showing 201225 of 305 papers

TitleStatusHype
Swap-Free Fat-Water Separation in Dixon MRI using Conditional Generative Adversarial Networks0
VTBIS: Vision Transformer for Biomedical Image Segmentation0
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation0
Learning from Partially Overlapping Labels: Image Segmentation under Annotation Shift0
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 Images0
Comparison of 2D vs. 3D U-Net Organ Segmentation in abdominal 3D CT images0
More than Encoder: Introducing Transformer Decoder to Upsample0
A multi-stage GAN for multi-organ chest X-ray image generation and segmentation0
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation0
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation0
Evaluating the Robustness of Self-Supervised Learning in Medical Imaging0
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising ModelCode0
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT ImagesCode1
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation0
UNETR: Transformers for 3D Medical Image SegmentationCode3
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Uncertainty-aware Incremental Learning for Multi-organ Segmentation0
Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets0
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
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 Segmentation0
An Uncertainty-Driven GCN Refinement Strategy for Organ SegmentationCode1
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