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Segmentation

Papers

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Showing 3401–3425 of 13072 papers

TitleStatusHype
InterSliceBoost: Identifying Tissue Layers in Three-dimensional Ultrasound Images for Chronic Lower Back Pain (cLBP) Assessment—0
Show and Segment: Universal Medical Image Segmentation via In-Context Learning—0
GRN+: A Simplified Generative Reinforcement Network for Tissue Layer Analysis in 3D Ultrasound Images for Chronic Low-back Pain—0
Optimization of MedSAM model based on bounding box adaptive perturbation algorithm—0
ZECO: ZeroFusion Guided 3D MRI Conditional GenerationCode0
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes—0
Cost-Sensitive Learning for Long-Tailed Temporal Action SegmentationCode0
Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models—0
Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging—0
EgoSurgery-HTS: A Dataset for Egocentric Hand-Tool Segmentation in Open Surgery VideosCode0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
MLLM-For3D: Adapting Multimodal Large Language Model for 3D Reasoning Segmentation—0
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation—0
Multi-modality Anomaly Segmentation on the RoadCode0
Topology preserving Image segmentation using the iterative convolution-thresholding method—0
MM-UNet: Meta Mamba UNet for Medical Image Segmentation—0
GeoT: Geometry-guided Instance-dependent Transition Matrix for Semi-supervised Tooth Point Cloud SegmentationCode0
Downstream Analysis of Foundational Medical Vision Models for Disease Progression—0
High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation—0
Center-guided Classifier for Semantic Segmentation of Remote Sensing Images—0
Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation—0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network—0
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency RelearningCode0
One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory NetworksCode0
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All datasetsSA-1B.MFSDMMFloodSimGas

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8—Unverified
2SAMAverage Precision38.9—Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20—Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69—Unverified