SOTAVerified

Segmentation

Papers

Showing 95019525 of 13072 papers

TitleStatusHype
Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation0
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks0
Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-structured Inference0
Fully Automated Organ Segmentation in Male Pelvic CT Images0
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks0
Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation0
Segmentation of the Left Ventricle by SDD double threshold selection and CHT0
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet0
Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow0
A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation0
Fully automatic detection and segmentation of abdominal aortic thrombus in post-operative CTA images using deep convolutional neural networks0
MVTec D2S: Densely Segmented Supermarket Dataset0
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model0
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI0
Fully Automatic Segmentation of 3D Brain Ultrasound: Learning from Coarse Annotations0
Fine-grained Metrics for Point Cloud Semantic Segmentation0
Fully Automatic Segmentation of Lumbar Vertebrae from CT Images using Cascaded 3D Fully Convolutional Networks0
Fully Automatic Segmentation of Sublingual Veins from Retrained U-Net Model for Few Near Infrared Images0
Fully-Automatic Synapse Prediction and Validation on a Large Data Set0
Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks0
Fully Complex-valued Fully Convolutional Multi-feature Fusion Network (FC2MFN) for Building Segmentation of InSAR images0
Fully Connected Deep Structured Networks0
Fully Connected Object Proposals for Video Segmentation0
A Soft STAPLE Algorithm Combined with Anatomical Knowledge0
Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1unSAM+ (Semi-supervised)Average Precision42.8Unverified
2SAMAverage Precision38.9Unverified
#ModelMetricClaimedVerifiedStatus
1HNN10%20Unverified
#ModelMetricClaimedVerifiedStatus
1ABANetF1 Score96.82Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet50 + DeepLabV3+F1 score0.77Unverified
#ModelMetricClaimedVerifiedStatus
1LangGasIoU0.69Unverified