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Segmentation

Papers

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Showing 9901–9950 of 13072 papers

TitleStatusHype
Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology—0
Brain Tumor Segmentation by Cascaded Deep Neural Networks Using Multiple Image Scales—0
3DPIFCM Novel Algorithm for Segmentation of Noisy Brain MRI Images—0
DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction—0
Selective Segmentation Networks Using Top-Down Attention—0
Efficient 2D neuron boundary segmentation with local topological constraints—0
3D Shape Segmentation with Geometric Deep Learning—0
Simultaneous Left Atrium Anatomy and Scar Segmentations via Deep Learning in Multiview Information with Attention—0
Deep Feature Fusion for Mitosis Counting—0
Foreground object segmentation in RGB-D data implemented on GPU—0
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy—0
C-DLinkNet: considering multi-level semantic features for human parsingCode0
DeepHIPS: A novel Deep Learning based Hippocampus Subfield Segmentation method—0
Image Embedded Segmentation: Uniting Supervised and Unsupervised Objectives for Segmenting Histopathological Images—0
Dual Convolutional LSTM Network for Referring Image Segmentation—0
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological SamplesCode0
Weakly Supervised Instance Segmentation by Deep Community Learning—0
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm—0
The Direction-Aware, Learnable, Additive Kernels and the Adversarial Network for Deep Floor Plan Recognition—0
Virtual KITTI 2—0
Adversarial Domain Adaptation for Cell Segmentation—0
Deep Learning in Multi-organ Segmentation—0
f-BRS: Rethinking Backpropagating Refinement for Interactive SegmentationCode0
Accurately identifying vertebral levels in large datasets—0
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image—0
Print Defect Mapping with Semantic Segmentation—0
Towards Open-Set Semantic Segmentation of Aerial Images—0
Bayesian nonparametric shared multi-sequence time series segmentation—0
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net—0
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks—0
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings—0
SDOD:Real-time Segmenting and Detecting 3D Object by Depth—0
SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention—0
Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brainCode0
The Performance of Deep U-Net Pre-Clinical Organ-wise Segmentation in the Presence of Low Counting Statistics.—0
Siamese Tracking of Cell Behaviour Patterns—0
Single-Stage vs. Multi-Stage Machine Learning Algorithms for Prostate Segmentation in Magnetic Resonance Images—0
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation—0
Poolability and Transferability in CNN. A Thrifty Approach—0
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
Multi-Task Deep Learning: Simultaneous Segmentation and Survival Analysis via Cox Proportional Hazards Regression—0
Mutual information deep regularization for semi-supervised segmentation—0
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation—0
4D Deep Learning for Multiple-Sclerosis Lesion Activity Segmentation—0
Chest X-Ray Pneumothorax Segmentation with the Multistep Post-Processing—0
Morphological Signature for Improvement of Weakly Supervised Segmentation of Quadriceps Muscles on Magnetic Resonance Imaging Data—0
Weakly Supervised Lesion Co-segmentation on CT Scans—0
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
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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