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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
Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging casesCode2
TotalVibeSegmentator: Full Body MRI Segmentation for the NAKO and UK BiobankCode2
MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CTCode2
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image SegmentationCode2
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical DecodingCode2
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ SegmentationCode2
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-trainingCode2
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three WeeksCode2
Customized Segment Anything Model for Medical Image SegmentationCode2
CLIP-Driven Universal Model for Organ Segmentation and Tumor DetectionCode2
TransUNet: Transformers Make Strong Encoders for Medical Image SegmentationCode2
CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ SegmentationCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
PG-SAM: Prior-Guided SAM with Medical for Multi-organ SegmentationCode1
Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ SegmentationCode1
STA-Unet: Rethink the semantic redundant for Medical Imaging SegmentationCode1
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image SegmentationCode1
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled DataCode1
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
3D Vascular Segmentation Supervised by 2D Annotation of Maximum Intensity ProjectionCode1
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-PromptingCode1
Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology BenchmarksCode1
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-DisambiguationCode1
Transfer learning from a sparsely annotated dataset of 3D medical imagesCode1
LLM-driven Multimodal Target Volume Contouring in Radiation OncologyCode1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image SegmentationCode1
Self-supervised Semantic Segmentation: Consistency over TransformationCode1
Abdominal organ segmentation via deep diffeomorphic mesh deformationsCode1
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
Continual Learning for Abdominal Multi-Organ and Tumor SegmentationCode1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ SegmentationCode1
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image AnalysisCode1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query EmbeddingCode1
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ SegmentationCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Combining Self-Training and Hybrid Architecture for Semi-supervised Abdominal Organ SegmentationCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Federated Multi-organ Segmentation with Inconsistent LabelsCode1
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT)Code1
Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic FlowCode1
Self Pre-training with Masked Autoencoders for Medical Image Classification and SegmentationCode1
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With SupervoxelsCode1
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