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Segmentation

Papers

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Showing 651–700 of 13072 papers

TitleStatusHype
FE-UNet: Frequency Domain Enhanced U-Net with Segment Anything Capability for Versatile Image Segmentation—0
Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation—0
Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation—0
Towards Fair and Robust Face Parsing for Generative AI: A Multi-Objective Approach—0
UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction—0
LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset—0
Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation—0
Deep Learning Pipeline for Fully Automated Myocardial Infarct Segmentation from Clinical Cardiac MR Scans—0
ZISVFM: Zero-Shot Object Instance Segmentation in Indoor Robotic Environments with Vision Foundation ModelsCode0
Rethinking Vision Transformer for Object Centric Foundation ModelsCode0
Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT ImagesCode0
Transfer Risk Map: Mitigating Pixel-level Negative Transfer in Medical Segmentation—0
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation—0
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation—0
Extending SEEDS to a Supervoxel Algorithm for Medical Image AnalysisCode0
UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic SegmentationCode1
Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings—0
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation ModelsCode0
Geometric Framework for Cell Oversegmentation—0
Vision and Language Reference Prompt into SAM for Few-shot SegmentationCode1
Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation—0
Registration-Enhanced Segmentation Method for Prostate Cancer in Ultrasound Images—0
Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic PerspectiveCode0
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation—0
Parameter Efficient Fine-Tuning of Segment Anything ModelCode1
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?—0
A Study on the Performance of U-Net Modifications in Retroperitoneal Tumor SegmentationCode0
Segment Anything for HistopathologyCode2
Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation—0
Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches—0
Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and Neonates—0
FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM—0
Medical Semantic Segmentation with Diffusion Pretrain—0
Single cell resolution 3D imaging and segmentation within intact live tissuesCode0
SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR ImagingCode0
Laser: Efficient Language-Guided Segmentation in Neural Radiance FieldsCode0
RUN: Reversible Unfolding Network for Concealed Object Segmentation—0
Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data ReleaseCode0
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation—0
Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation—0
3D Reconstruction of Shoes for Augmented Reality—0
Visualization of Organ Movements Using Automatic Region Segmentation of Swallowing CT—0
ContourFormer:Real-Time Contour-Based End-to-End Instance Segmentation TransformerCode1
Segmentation-Aware Generative Reinforcement Network (GRN) for Tissue Layer Segmentation in 3-D Ultrasound Images for Chronic Low-back Pain (cLBP) AssessmentCode0
Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference EnginesCode0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation—0
Point Cloud Upsampling as Statistical Shape Model for Pelvic—0
Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models—0
Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation—0
CLISC: Bridging clip and sam by enhanced cam for unsupervised brain tumor segmentationCode1
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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