SOTAVerified

Segmentation

Papers

Showing 31763200 of 13072 papers

TitleStatusHype
MLV^2-Net: Rater-Based Majority-Label Voting for Consistent Meningeal Lymphatic Vessel SegmentationCode0
Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRICode0
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalizationCode0
MLC at HECKTOR 2022: The Effect and Importance of Training Data when Analyzing Cases of Head and Neck Tumors using Machine LearningCode0
BEVal: A Cross-dataset Evaluation Study of BEV Segmentation Models for Autonomous DrivingCode0
Anatomy-guided Pathology SegmentationCode0
Mix and match networks: encoder-decoder alignment for zero-pair image translationCode0
MitoSeg: Mitochondria Segmentation ToolCode0
BEN: Using Confidence-Guided Matting for Dichotomous Image SegmentationCode0
MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleedsCode0
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsCode0
Adaptive Affinity Fields for Semantic SegmentationCode0
MinneApple: A Benchmark Dataset for Apple Detection and SegmentationCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
Minimizing Supervision for Free-space SegmentationCode0
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationCode0
Microscopy Image Segmentation via Point and Shape Regularized Data SynthesisCode0
Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease GeneralizationCode0
Benchmarking Label Noise in Instance Segmentation: Spatial Noise MattersCode0
MicroAnalyzer: A Python Tool for Automated Bacterial Analysis with Fluorescence MicroscopyCode0
Adaptive Active Contour Model for Brain Tumor SegmentationCode0
Microscopy Cell Segmentation via Convolutional LSTM NetworksCode0
Microscopy Cell Segmentation via Adversarial Neural NetworksCode0
Microstructural segmentation using a union of attention guided U-Net models with different color transformed imagesCode0
AdaptIS: Adaptive Instance Selection NetworkCode0
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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