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Segmentation

Papers

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Showing 5076–5100 of 13072 papers

TitleStatusHype
Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation—0
Crop and Couple: cardiac image segmentation using interlinked specialist networksCode0
Rethinking U-net Skip Connections for Biomedical Image Segmentation—0
Scribble-based fast weak-supervision and interactive corrections for segmenting whole slide imagesCode0
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging—0
P-Mamba: Marrying Perona Malik Diffusion with Mamba for Efficient Pediatric Echocardiographic Left Ventricular Segmentation—0
Re-DiffiNet: Modeling discrepancies in tumor segmentation using diffusion modelsCode0
Make it more specific: A novel uncertainty based airway segmentation application on 3D U-Net and its variants—0
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning—0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
Expert-Adaptive Medical Image Segmentation—0
Happy and Immersive Clustering Segmentations of Biological Co-Expression Patterns—0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
Hybridnet for depth estimation and semantic segmentation—0
TETRIS: Towards Exploring the Robustness of Interactive Segmentation—0
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
More than the Sum of Its Parts: Ensembling Backbone Networks for Few-Shot Segmentation—0
Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results—0
Early Fusion of Features for Semantic Segmentation—0
On the Effect of Image Resolution on Semantic Segmentation—0
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner—0
Privacy-Preserving Synthetic Continual Semantic Segmentation for Robotic SurgeryCode0
Multi-Scale Semantic Segmentation with Modified MBConv Blocks—0
Color Recognition in Challenging Lighting Environments: CNN Approach—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