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Segmentation

Papers

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Showing 9501–9550 of 13072 papers

TitleStatusHype
Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation—0
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks—0
Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference—0
Fully Automated Organ Segmentation in Male Pelvic CT Images—0
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks—0
Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation—0
Segmentation of the Left Ventricle by SDD double threshold selection and CHT—0
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet—0
Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow—0
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation—0
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks—0
MVTec D2S: Densely Segmented Supermarket Dataset—0
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model—0
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI—0
Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations—0
Fine-grained Metrics for Point Cloud Semantic Segmentation—0
Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks—0
Fully Automatic Segmentation of Sublingual Veins from Retrained U-Net Model for Few Near Infrared Images—0
Fully-Automatic Synapse Prediction and Validation on a Large Data Set—0
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks—0
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images—0
Fully Connected Deep Structured Networks—0
Fully Connected Object Proposals for Video Segmentation—0
A Soft STAPLE Algorithm Combined with Anatomical Knowledge—0
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis—0
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers—0
Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN—0
A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers—0
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation—0
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model—0
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis—0
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour Fundus Images Associated with Diabetic Retinopathy—0
Fully Convolutional Neural Networks for Crowd Segmentation—0
Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images—0
A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning—0
Fully Hyperbolic Convolutional Neural Networks—0
Fully Self-Supervised Learning for Semantic Segmentation—0
Fully Transformer Networks for Semantic Image Segmentation—0
Fully Using Classifiers for Weakly Supervised Semantic Segmentation with Modified Cues—0
Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images—0
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images—0
FunduSAM: A Specialized Deep Learning Model for Enhanced Optic Disc and Cup Segmentation in Fundus Images—0
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report—0
A Simple HMM with Self-Supervised Representations for Phone Segmentation—0
FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation—0
Fuse4Seg: Image-Level Fusion Based Multi-Modality Medical Image Segmentation—0
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection—0
FUSeg: The Foot Ulcer Segmentation Challenge—0
A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation—0
Fusing Hierarchical Convolutional Features for Human Body Segmentation and Clothing Fashion Classification—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