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Segmentation

Papers

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Showing 8001–8025 of 13072 papers

TitleStatusHype
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net—0
CORPS: Cost-free Rigorous Pseudo-labeling based on Similarity-ranking for Brain MRI Segmentation—0
Attention to Scale: Scale-aware Semantic Image Segmentation—0
MultiverSeg: Scalable Interactive Segmentation of Biomedical Imaging Datasets with In-Context Guidance—0
A Hierarchical Multi-Task Approach to Gastrointestinal Image Analysis—0
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography—0
Improved AI-based segmentation of apical and basal slices from clinical cine CMR—0
Multi-view Cardiac Image Segmentation via Trans-Dimensional Priors—0
Coronary Plaque Analysis for CT Angiography Clinical Research—0
Multiview Cross-supervision for Semantic Segmentation—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Improve Cross-Modality Segmentation by Treating T1-Weighted MRI Images as Inverted CT Scans—0
Importance of Self-Consistency in Active Learning for Semantic Segmentation—0
Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net—0
Importance of Image Enhancement Techniques in Color Image Segmentation: A Comprehensive and Comparative Study—0
Coronary Artery Segmentation from Intravascular Optical Coherence Tomography Using Deep Capsules—0
AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation—0
A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus images—0
A combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation—0
Multiview Two-Task Recursive Attention Model for Left Atrium and Atrial Scars Segmentation—0
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training—0
MuSCLe: A Multi-Strategy Contrastive Learning Framework for Weakly Supervised Semantic Segmentation—0
Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving—0
Attention on Classification for Fire Segmentation—0
Implicit U-Net for volumetric medical image segmentation—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