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 351400 of 2089 papers

TitleStatusHype
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registrationCode0
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical ImagesCode0
Polyp-SES: Automatic Polyp Segmentation with Self-Enriched Semantic ModelCode0
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image SegmentationCode1
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature GraftingCode1
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image SegmentationCode0
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation0
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
Medical Image Segmentation with SAM-generated Annotations0
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image SegmentationCode2
Toward Deep Learning-based Segmentation and Quantitative Analysis of Cervical Spinal Cord Magnetic Resonance Images0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning0
Global-Local Medical SAM Adaptor Based on Full Adaption0
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
Shape-intensity knowledge distillation for robust medical image segmentationCode0
XAI-ResUNet: Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAMCode0
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image SegmentationCode1
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image SegmentationCode0
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation0
Improved Unet brain tumor image segmentation based on GSConv module and ECA attention mechanism0
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image SegmentationCode1
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image SegmentationCode1
PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation0
World of Forms: Deformable Geometric Templates for One-Shot Surface Meshing in Coronary CT Angiography0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection0
Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning0
MetaFormer and CNN Hybrid Model for Polyp Image SegmentationCode1
Fuse4Seg: Image-Level Fusion Based Multi-Modality Medical Image Segmentation0
Learning Semi-Supervised Medical Image Segmentation from Spatial RegistrationCode0
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis0
Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 ModelCode2
Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images0
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition0
D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation0
Effective Segmentation of Post-Treatment Gliomas Using Simple Approaches: Artificial Sequence Generation and Ensemble Models0
AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ SegmentationCode0
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image SegmentationCode0
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image DatasetsCode1
Structure-Aware Single-Source Generalization with Pixel-Level Disentanglement for Joint Optic Disc and Cup SegmentationCode1
Sam2Rad: A Segmentation Model for Medical Images with Learnable PromptsCode1
FIF-UNet: An Efficient UNet Using Feature Interaction and Fusion for Medical Image Segmentation0
SX-Stitch: An Efficient VMS-UNet Based Framework for Intraoperative Scoliosis X-Ray Image Stitching0
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image SegmentationCode1
Deep Self-Cleansing for Medical Image Segmentation with Noisy Labels0
Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum SynthesisCode0
RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuningCode2
Boundary feature fusion network for tooth image segmentation0
TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation0
Show:102550
← PrevPage 8 of 42Next →

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