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Organ Segmentation

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Showing 1–50 of 305 papers

TitleStatusHype
Universal and Extensible Language-Vision Models for Organ Segmentation and Tumor Detection from Abdominal Computed TomographyCode4
3D TransUNet: Advancing Medical Image Segmentation through Vision TransformersCode4
UNETR: Transformers for 3D Medical Image SegmentationCode3
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-trainingCode2
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
Customized Segment Anything Model for Medical Image SegmentationCode2
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image SegmentationCode2
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ SegmentationCode2
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical DecodingCode2
CLIP-Driven Universal Model for Organ Segmentation and Tumor DetectionCode2
MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CTCode2
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging casesCode2
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK BiobankCode2
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three WeeksCode2
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
PSIGAN: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation based MRI segmentationCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
Multi-organ Segmentation over Partially Labeled Datasets with Multi-scale Feature AbstractionCode1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
Abdominal organ segmentation via deep diffeomorphic mesh deformationsCode1
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisCode1
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationCode1
PG-SAM: Prior-Guided SAM with Medical for Multi-organ SegmentationCode1
Self-supervised Semantic Segmentation: Consistency over TransformationCode1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image SegmentationCode1
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?Code1
Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ SegmentationCode1
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT ImagesCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled DataCode1
LLM-driven Multimodal Target Volume Contouring in Radiation OncologyCode1
CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ SegmentationCode1
Continual Learning for Abdominal Multi-Organ and Tumor SegmentationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
Efficient Context-Aware Network for Abdominal Multi-organ SegmentationCode1
Federated Multi-organ Segmentation with Inconsistent LabelsCode1
Uncertainty-based graph convolutional networks for organ segmentation refinementCode1
An Uncertainty-Driven GCN Refinement Strategy for Organ SegmentationCode1
Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional NetworksCode1
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray RadiographyCode1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image SegmentationCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ SegmentationCode1
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ SegmentationCode1
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