SOTAVerified

Medical Image Segmentation

Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.

( Image credit: IVD-Net )

Papers

Showing 651700 of 2089 papers

TitleStatusHype
Efficient Medical Image Segmentation Based on Knowledge DistillationCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image SegmentationCode1
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality AugmentationCode1
HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention ModelingCode1
On uncertainty estimation in active learning for image segmentationCode1
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image SegmentationCode1
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image SegmentationCode1
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified DecoderCode1
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image SegmentationCode1
Partial supervision for the FeTA challenge 2021Code1
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image SegmentationCode1
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentationCode1
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentationCode1
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion ModelCode1
FedMix: Mixed Supervised Federated Learning for Medical Image SegmentationCode1
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentationCode1
PG-SAM: Prior-Guided SAM with Medical for Multi-organ SegmentationCode1
PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image SegmentationCode1
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image SegmentationCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
Mutual Consistency Learning for Semi-supervised Medical Image SegmentationCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
Few Shot Medical Image Segmentation with Cross Attention TransformerCode1
1M parameters are enough? A lightweight CNN-based model for medical image segmentationCode1
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?Code1
Positional Contrastive Learning for Volumetric Medical Image SegmentationCode1
PraNet: Parallel Reverse Attention Network for Polyp SegmentationCode1
Primitive Geometry Segment Pre-training for 3D Medical Image SegmentationCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive TrainingCode1
Enhancing MR Image Segmentation with Realistic Adversarial Data AugmentationCode1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image SegmentationCode1
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal InterventionCode1
Prompt Tuning for Parameter-efficient Medical Image SegmentationCode1
Evidence fusion with contextual discounting for multi-modality medical image segmentationCode1
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical ImagesCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRICode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
pyssam -- a Python library for statistical modelling of biomedical shape and appearanceCode1
Q-Net: Query-Informed Few-Shot Medical Image SegmentationCode1
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image SegmentationCode1
I-MedSAM: Implicit Medical Image Segmentation with Segment AnythingCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image SegmentationCode1
Realistic Adversarial Data Augmentation for MR Image SegmentationCode1
Learning Euler's Elastica Model for Medical Image SegmentationCode1
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.95Unverified
2EffiSegNet-B5mean Dice0.95Unverified
3EffiSegNet-B4mean Dice0.95Unverified
4SegMedmean Dice0.95Unverified
5FCB Formermean Dice0.94Unverified
6FCB-SwinV2 Transformermean Dice0.94Unverified
7SEPmean Dice0.94Unverified
8LM-Netmean Dice0.94Unverified
9RAPUNetmean Dice0.94Unverified
10FCBFormermean Dice0.94Unverified
#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.97Unverified
2RAPUNetmean Dice0.96Unverified
3EMCADmean Dice0.95Unverified
4Yolo-SAM 2mean Dice0.95Unverified
5RaBiTmean Dice0.95Unverified
6UGCANetmean Dice0.95Unverified
7ESFPNet-Lmean Dice0.95Unverified
8FCBFormermean Dice0.95Unverified
9DuATmean Dice0.95Unverified
10SegMedmean Dice0.95Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.95Unverified
2DUCK-Netmean Dice0.94Unverified
3EMCADmean Dice0.92Unverified
4SegMedmean Dice0.92Unverified
5UniNetmean Dice0.92Unverified
6ProMISemean Dice0.87Unverified
7Meta-Polypmean Dice0.87Unverified
8ResUNet++ + TTAmean Dice0.85Unverified
9PVT-GCASCADEmean Dice0.83Unverified
10PVT-CASCADEmean Dice0.83Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.96Unverified
2SegMedmean Dice0.94Unverified
3DUCK-Netmean Dice0.94Unverified
4EMCADmean Dice0.92Unverified
5ProMISemean Dice0.84Unverified
6RSAFormermean Dice0.84Unverified
7ESFPNet-Lmean Dice0.82Unverified
8DuATmean Dice0.82Unverified
9PVT-CASCADEmean Dice0.8Unverified
10SSFormer-Lmean Dice0.8Unverified
#ModelMetricClaimedVerifiedStatus
1Interactive AI-SAM gt boxAvg DSC90.66Unverified
2Medical SAM AdapterAvg DSC89.8Unverified
3MedSegDiff-v2Avg DSC89.5Unverified
4nnUNetAvg DSC88.8Unverified
5MedNeXt-L (5x5x5)Avg DSC88.76Unverified
6MISTAvg DSC86.92Unverified
7nnFormerAvg DSC86.57Unverified
8AgileFormerAvg DSC86.11Unverified
9MERITAvg DSC84.9Unverified
10Automatic AI-SAMAvg DSC84.21Unverified
#ModelMetricClaimedVerifiedStatus
1FCTAvg DSC94.26Unverified
2Interactive AI-SAM gt boxAvg DSC93.89Unverified
3FCTAvg DSC93.02Unverified
4LHU-NetAvg DSC92.65Unverified
5MISTAvg DSC92.56Unverified
6MERITAvg DSC92.32Unverified
7MERIT-GCASCADEAvg DSC92.23Unverified
8EMCADAvg DSC92.12Unverified
9nnFormerAvg DSC92.06Unverified
10Automatic AI-SAMAvg DSC92.06Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6Unverified