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Segmentation

Papers

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Showing 7101–7150 of 13072 papers

TitleStatusHype
Chromosome Segmentation Analysis Using Image Processing Techniques and Autoencoders—0
Self-supervised Learning for Panoptic Segmentation of Multiple Fruit Flower SpeciesCode0
A multi view multi stage and multi window framework for pulmonary artery segmentation from CT scans—0
Automatic fetal fat quantification from MRI—0
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image SegmentationCode0
SUNet: Scale-aware Unified Network for Panoptic Segmentation—0
That Slepen Al the Nyght with Open Ye! Cross-era Sequence Segmentation with Switch-memory—0
A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection ImagesCode0
Progressive Glass Segmentation—0
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation—0
An evaluation of U-Net in Renal Structure Segmentation—0
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets—0
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation—0
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation—0
AutoPET Challenge 2022: Step-by-Step Lesion Segmentation in Whole-body FDG-PET/CTCode0
A systematic study of race and sex bias in CNN-based cardiac MR segmentation—0
Semantic Segmentation in Learned Compressed Domain—0
Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition—0
TokenCut: Segmenting Objects in Images and Videos with Self-supervised Transformer and Normalized Cut—0
Image Models for large-scale Object Detection and Classification—0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation—0
AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor Lesion Based on Deep Learning and FDG PET/CTCode0
A Realism Metric for Generated LiDAR Point Clouds—0
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks—0
On the Automated Segmentation of Epicardial and Mediastinal Cardiac Adipose Tissues Using Classification Algorithms—0
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning—0
Probing Contextual Diversity for Dense Out-of-Distribution DetectionCode0
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for BrainCode0
FAKD: Feature Augmented Knowledge Distillation for Semantic SegmentationCode0
An Access Control Method with Secret Key for Semantic Segmentation Models—0
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers—0
Efficient liver segmentation with 3D CNN using computed tomography scans—0
Weakly and Semi-Supervised Detection, Segmentation and Tracking of Table Grapes with Limited and Noisy Data—0
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning—0
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEsCode0
Segmentation of Parotid Gland Tumors Using Multimodal MRI and Contrastive Learning—0
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression—0
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review—0
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model—0
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy—0
Full Body Video-Based Self-Avatars for Mixed Reality: from E2E System to User Study—0
Fast and Precise Binary Instance Segmentation of 2D Objects for Automotive Applications—0
Semi-Automatic Labeling and Semantic Segmentation of Gram-Stained Microscopic Images from DIBaS Dataset—0
Unsupervised Fish Trajectory Tracking and Segmentation—0
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks—0
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical ImageCode0
Extending nnU-Net is all you need—0
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation—0
Prompt-Matched Semantic Segmentation—0
Transforming the Interactive Segmentation for Medical Imaging—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