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 701750 of 2089 papers

TitleStatusHype
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation0
Susceptibility of Adversarial Attack on Medical Image Segmentation ModelsCode0
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation0
Artificial Intelligence-based algorithms in medical image scan seg-mentation and intelligent visual-content generation -- a concise overview0
Uncertainty Modeling in Ultrasound Image Segmentation for Precise Fetal Biometric Measurements0
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training0
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models0
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image SegmentationCode2
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
Seg-metrics: a Python package to compute segmentation metricsCode2
Self-supervised Learning of Dense Hierarchical Representations for Medical Image SegmentationCode0
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation0
Primitive Geometry Segment Pre-training for 3D Medical Image SegmentationCode1
Segment Anything Model for Medical Image Segmentation: Current Applications and Future DirectionsCode5
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation0
Leveraging SAM for Single-Source Domain Generalization in Medical Image SegmentationCode1
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels0
Freeze the backbones: A Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-training0
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image SegmentationCode1
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
Learning Multi-axis Representation in Frequency Domain for Medical Image SegmentationCode1
Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning0
Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image SegmentationCode0
Narrowing the semantic gaps in U-Net with learnable skip connections: The case of medical image segmentationCode2
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation NoiseCode1
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation0
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of ConceptCode1
ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation0
Gradient-based Parameter Selection for Efficient Fine-TuningCode1
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model0
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal CarcinomaCode1
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis AttentionCode2
KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp SegmentationCode1
ASLseg: Adapting SAM in the Loop for Semi-supervised Liver Tumor Segmentation0
MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation0
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical ImageCode2
Dual Structure-Aware Image Filterings for Semi-supervised Medical Image Segmentation0
AttenScribble: Attentive Similarity Learning for Scribble-Supervised Medical Image Segmentation0
A dynamic interactive learning framework for automated 3D medical image segmentation0
SemiSAM: Enhancing Semi-Supervised Medical Image Segmentation via SAM-Assisted Consistency RegularizationCode1
ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure ReconstructionCode0
DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time AdaptationCode1
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation0
LSegDiff: A Latent Diffusion Model for Medical Image Segmentation0
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image SegmentationCode1
DeepPyramid+: Medical Image Segmentation using Pyramid View Fusion and Deformable Pyramid Reception0
AI-SAM: Automatic and Interactive Segment Anything ModelCode1
SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter ConvolutionCode0
MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentationCode1
A Recent Survey of Vision Transformers for Medical Image Segmentation0
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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