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Segmentation

Papers

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Showing 9751–9800 of 13072 papers

TitleStatusHype
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
Morphological Signature for Improvement of Weakly Supervised Segmentation of Quadriceps Muscles on Magnetic Resonance Imaging Data—0
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation—0
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans—0
How Distance Transform Maps Boost Segmentation CNNs: An Empirical StudyCode1
Chest X-Ray Pneumothorax Segmentation with the Multistep Post-Processing—0
The Performance of Deep U-Net Pre-Clinical Organ-wise Segmentation in the Presence of Low Counting Statistics.—0
Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brainCode0
Poolability and Transferability in CNN. A Thrifty Approach—0
Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspectiveCode1
Single-Stage vs. Multi-Stage Machine Learning Algorithms for Prostate Segmentation in Magnetic Resonance Images—0
Siamese Tracking of Cell Behaviour Patterns—0
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation—0
SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
Weakly Supervised Lesion Co-segmentation on CT Scans—0
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT ImagesCode1
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene DescriptorCode1
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation—0
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms—0
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl—0
Learning to adapt class-specific features across domains for semantic segmentationCode0
Point Cloud Segmentation based on Hypergraph Spectral Clustering—0
Instance Segmentation of Visible and Occluded Regions for Finding and Picking Target from a Pile of Objects—0
Breast lesion segmentation in ultrasound images with limited annotated data—0
Joint Learning of Instance and Semantic Segmentation for Robotic Pick-and-Place with Heavy Occlusions in Clutter—0
SAUNet: Shape Attentive U-Net for Interpretable Medical Image SegmentationCode1
PatchPerPix for Instance SegmentationCode1
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation—0
An Efficient Framework for Automated Screening of Clinically Significant Macular Edema—0
Gated Path Selection Network for Semantic Segmentation—0
Zero-Shot Video Object Segmentation via Attentive Graph Neural NetworksCode1
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training—0
Evolutionary Neural Architecture Search for Retinal Vessel Segmentation—0
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ SegmentationCode1
Probabilistic 3D Multilabel Real-time Mapping for Multi-object Manipulation—0
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape FeaturesCode1
Supervised Segmentation of Retinal Vessel Structures Using ANN—0
A Two-Stream Meticulous Processing Network for Retinal Vessel Segmentation—0
Image Segmentation Using Deep Learning: A SurveyCode1
3D Object Segmentation for Shelf Bin Picking by Humanoid with Deep Learning and Occupancy Voxel Grid Map—0
Moving Objects Detection with a Moving Camera: A Comprehensive ReviewCode0
UnOVOST: Unsupervised Offline Video Object Segmentation and TrackingCode1
Unifying Training and Inference for Panoptic Segmentation—0
Machine Learning Pipeline for Segmentation and Defect Identification from High Resolution Transmission Electron Microscopy Data—0
Hippocampus Segmentation on Epilepsy and Alzheimer's Disease Studies with Multiple Convolutional Neural NetworksCode1
Effects of annotation granularity in deep learning models for histopathological images—0
Deep Learning for ECG SegmentationCode0
Structured Consistency Loss for semi-supervised semantic segmentation—0
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment—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