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Segmentation

Papers

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Showing 11701–11750 of 13072 papers

TitleStatusHype
A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images—0
A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging—0
Partitioned Shape Modeling with On-the-Fly Sparse Appearance Learning for Anterior Visual Pathway Segmentation—0
A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification—0
Optic Disc, Cup and Fovea Detection from Retinal Images Using U-Net++ with EfficientNet Encoder—0
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation—0
Partly Supervised Multitask Learning—0
A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy—0
Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation—0
Maximin affinity learning of image segmentation—0
Optimal Latent Vector Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation—0
Maximization and restoration: Action segmentation through dilation passing and temporal reconstruction—0
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation—0
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation—0
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation—0
A Deep Learning-Based Approach to Extracting Periosteal and Endosteal Contours of Proximal Femur in Quantitative CT Images—0
A Deep Learning-Based Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis From 3D Echocardiography—0
MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation—0
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds—0
Optimal Multi-Object Segmentation with Novel Gradient Vector Flow Based Shape Priors—0
A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials—0
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images—0
Optimal Surface Segmentation with Convex Priors in Irregularly Sampled Space—0
A Deep Gradient Boosting Network for Optic Disc and Cup Segmentation—0
MCFNet: Multi-scale Covariance Feature Fusion Network for Real-time Semantic Segmentation—0
A deep deformable residual learning network for SAR images segmentation—0
MCICSAM: Monte Carlo-guided Interpolation Consistency Segment Anything Model for Semi-Supervised Prostate Zone Segmentation—0
MCMC Guided CNN Training and Segmentation for Pancreas Extraction—0
MCMC Shape Sampling for Image Segmentation with Nonparametric Shape Priors—0
A Deep Active Contour Model for Delineating Glacier Calving Fronts—0
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation—0
Optimal Transport Driven Asymmetric Image-to-Image Translation for Nuclei Segmentation of Histological Images—0
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets—0
MDA-Net: Multi-Dimensional Attention-Based Neural Network for 3D Image Segmentation—0
Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages—0
MDFI-Net: Multiscale Differential Feature Interaction Network for Accurate Retinal Vessel Segmentation—0
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation—0
MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation—0
A Decoding Scheme with Successive Aggregation of Multi-Level Features for Light-Weight Semantic Segmentation—0
Meaningful Objects Segmentation from SAR Images via A Multi-Scale Non-Local Active Contour Model—0
Meaningless yet meaningful: Morphology grounded subword-level NMT—0
Addressing intra-area oscillations and frequency stability after DC segmentation of a large AC power system—0
Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation—0
Measuring uncertainty in human visual segmentation—0
Med-2D SegNet: A Light Weight Deep Neural Network for Medical 2D Image Segmentation—0
Addressing Domain Adaptation for Chinese Word Segmentation with Global Recurrent Structure—0
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index—0
Addressing Background Context Bias in Few-Shot Segmentation through Iterative Modulation—0
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift—0
A Dataset for Semantic Segmentation in the Presence of Unknowns—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