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Segmentation

Papers

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Showing 1001–1050 of 13072 papers

TitleStatusHype
Morphology-Enhanced CAM-Guided SAM for weakly supervised Breast Lesion SegmentationCode1
Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour SegmentationCode1
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-DisambiguationCode1
Center Focusing Network for Real-Time LiDAR Panoptic SegmentationCode1
Comprehensive framework for evaluation of deep neural networks in detection and quantification of lymphoma from PET/CT images: clinical insights, pitfalls, and observer agreement analysesCode1
Slide-SAM: Medical SAM Meets Sliding WindowCode1
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
SAMIHS: Adaptation of Segment Anything Model for Intracranial Hemorrhage SegmentationCode1
SegReg: Segmenting OARs by Registering MR Images and CT AnnotationsCode1
Transfer learning from a sparsely annotated dataset of 3D medical imagesCode1
A 3D generative model of pathological multi-modal MR images and segmentationsCode1
Lidar Annotation Is All You NeedCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward MaximizationCode1
Using DUCK-Net for Polyp Image SegmentationCode1
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound ScalingCode1
AeroPath: An airway segmentation benchmark dataset with challenging pathologyCode1
Continual atlas-based segmentation of prostate MRICode1
DEFN: Dual-Encoder Fourier Group Harmonics Network for Three-Dimensional Indistinct-Boundary Object SegmentationCode1
MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) DecoderCode1
Promise:Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation ModelsCode1
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic SegmentationCode1
Audio-Visual Instance SegmentationCode1
Instance Segmentation under Occlusions via Location-aware Copy-Paste Data AugmentationCode1
CARIS: Context-Augmented Referring Image SegmentationCode1
SmooSeg: Smoothness Prior for Unsupervised Semantic SegmentationCode1
Three Pillars improving Vision Foundation Model Distillation for LidarCode1
A Deep Learning Approach to Teeth Segmentation and Orientation from Panoramic X-raysCode1
Robust Source-Free Domain Adaptation for Fundus Image SegmentationCode1
Using Diffusion Models to Generate Synthetic Labelled Data for Medical Image SegmentationCode1
GNeSF: Generalizable Neural Semantic FieldsCode1
Anatomically-aware Uncertainty for Semi-supervised Image SegmentationCode1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image SegmentationCode1
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation ModelsCode1
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality ImagesCode1
Diffusion-based Data Augmentation for Nuclei Image SegmentationCode1
Linguistically Motivated Sign Language SegmentationCode1
Minimalist and High-Performance Semantic Segmentation with Plain Vision TransformersCode1
Lidar Panoptic Segmentation and Tracking without Bells and WhistlesCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
Towards Training-free Open-world Segmentation via Image Prompt Foundation ModelsCode1
Label-efficient Segmentation via Affinity PropagationCode1
Automatic segmentation of lung findings in CT and application to Long COVIDCode1
SSG2: A new modelling paradigm for semantic segmentationCode1
SAM-OCTA: Prompting Segment-Anything for OCTA Image SegmentationCode1
IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchorsCode1
Relational Prior Knowledge Graphs for Detection and Instance SegmentationCode1
Causal Unsupervised Semantic SegmentationCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
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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