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 601650 of 2089 papers

TitleStatusHype
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionCode0
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image SegmentationCode2
Multi-rater Prompting for Ambiguous Medical Image Segmentation0
LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image SegmentationCode1
An Evidential-enhanced Tri-Branch Consistency Learning Method for Semi-supervised Medical Image Segmentation0
Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image SegmentationCode2
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation0
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation0
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image SegmentationCode2
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
Towards Efficient and Accurate CT Segmentation via Edge-Preserving Probabilistic Downsampling0
LiteNeXt: A Novel Lightweight ConvMixer-based Model with Self-embedding Representation Parallel for Medical Image SegmentationCode1
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation0
Cross-Modal Conditioned Reconstruction for Language-guided Medical Image SegmentationCode1
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings0
RSAFormer: A method of polyp segmentation with region self-attention transformerCode1
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation0
Language Guided Domain Generalized Medical Image SegmentationCode1
AgileFormer: Spatially Agile Transformer UNet for Medical Image SegmentationCode2
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image SegmentationCode2
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion SegmentationCode3
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets0
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior0
Unleashing the Potential of SAM for Medical Adaptation via Hierarchical DecodingCode2
Generative Medical SegmentationCode2
Segment Any Medical Model ExtendedCode3
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation0
Deep models for stroke segmentation: do complex architectures always perform better?0
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image SegmentationCode0
Clustering Propagation for Universal Medical Image SegmentationCode1
ChebMixer: Efficient Graph Representation Learning with MLP Mixer0
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging0
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentationCode0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images0
MatchSeg: Towards Better Segmentation via Reference Image MatchingCode1
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT ScansCode1
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image AnnotationsCode0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations0
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation0
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
Diversified and Personalized Multi-rater Medical Image SegmentationCode2
ProMamba: Prompt-Mamba for polyp segmentation0
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge0
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous 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