SOTAVerified

Segmentation

Papers

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Showing 3451–3475 of 13072 papers

TitleStatusHype
Deep Learning-Based Automated Workflow for Accurate Segmentation and Measurement of Abdominal Organs in CT Scans—0
Eye on the Target: Eye Tracking Meets Rodent Tracking—0
The Power of One: A Single Example is All it Takes for Segmentation in VLMs—0
Category Prompt Mamba Network for Nuclei Segmentation and Classification—0
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image SegmentationCode0
Investigation of Frame Differences as Motion Cues for Video Object Segmentation—0
Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray AnalysisCode0
Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data—0
SurgicalVLM-Agent: Towards an Interactive AI Co-Pilot for Pituitary Surgery—0
Knowledge Consultation for Semi-Supervised Semantic Segmentation—0
Evaluation of state-of-the-art deep learning models in the segmentation of the heart ventricles in parasternal short-axis echocardiograms—0
Rel-UNet: Reliable Tumor Segmentation via Uncertainty Quantification in nnU-Net—0
3D Medical Imaging Segmentation on Non-Contrast CT—0
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation—0
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation—0
Customized SAM 2 for Referring Remote Sensing Image Segmentation—0
AI-Driven Automated Tool for Abdominal CT Body Composition Analysis in Gastrointestinal Cancer ManagementCode0
Visual and Text Prompt Segmentation: A Novel Multi-Model Framework for Remote Sensing—0
Think Before You Segment: High-Quality Reasoning Segmentation with GPT Chain of Thoughts—0
Approximate Size Targets Are Sufficient for Accurate Semantic Segmentation—0
QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter—0
Towards a Multimodal MRI-Based Foundation Model for Multi-Level Feature Exploration in Segmentation, Molecular Subtyping, and Grading of Glioma—0
X-GAN: A Generative AI-Powered Unsupervised Model for Main Vessel Segmentation of Glaucoma ScreeningCode0
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation—0
MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages—0
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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