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 801850 of 2089 papers

TitleStatusHype
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation0
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation0
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image SegmentationCode0
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study0
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation0
Optimization of MedSAM model based on bounding box adaptive perturbation algorithm0
Show and Segment: Universal Medical Image Segmentation via In-Context Learning0
Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentation0
PSO-UNet: Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation0
ZECO: ZeroFusion Guided 3D MRI Conditional GenerationCode0
MM-UNet: Meta Mamba UNet for Medical Image Segmentation0
Downstream Analysis of Foundational Medical Vision Models for Disease Progression0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation0
Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation0
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation0
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation0
DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation0
RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT0
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image SegmentationCode0
Organ-aware Multi-scale Medical Image Segmentation Using Text Prompt Engineering0
Boosting Semi-Supervised Medical Image Segmentation via Masked Image Consistency and Discrepancy Learning0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation0
QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image SegmentationCode0
SeqSAM: Autoregressive Multiple Hypothesis Prediction for Medical Image Segmentation using SAMCode0
Diff-CL: A Novel Cross Pseudo-Supervision Method for Semi-supervised Medical Image Segmentation0
3D Medical Imaging Segmentation on Non-Contrast CT0
QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter0
Task-Specific Knowledge Distillation from the Vision Foundation Model for Enhanced Medical Image Segmentation0
Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models0
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation0
Dynamically evolving segment anything model with continuous learning for medical image segmentation0
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image SegmentationCode0
We Care Each Pixel: Calibrating on Medical Segmentation ModelCode0
Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation0
Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation0
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching0
SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative LearningCode0
Primus: Enforcing Attention Usage for 3D Medical Image Segmentation0
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction0
Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image SegmentationCode0
Test-Time Modality Generalization for Medical Image Segmentation0
M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image SegmentationCode0
Image Translation-Based Unsupervised Cross-Modality Domain Adaptation for Medical Image Segmentation0
Vision Foundation Models in Medical Image Analysis: Advances and Challenges0
MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation0
WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing0
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation0
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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