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
Topologically Faithful Multi-class Segmentation in Medical Images0
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical ImagesCode1
VM-UNET-V2 Rethinking Vision Mamba UNet for Medical Image SegmentationCode2
Federated Data Model0
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationCode2
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset0
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image SegmentationCode0
A Segmentation Foundation Model for Diverse-type Tumors0
Shortcut Learning in Medical Image SegmentationCode0
LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image SegmentationCode3
FedFMS: Exploring Federated Foundation Models for Medical Image SegmentationCode2
ProMISe: Promptable Medical Image Segmentation using SAMCode1
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation0
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware LearningCode1
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation0
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation0
Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/CT images using self-supervised learning with Swin UNETRCode1
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image SegmentationCode1
Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel basesCode0
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image SegmentationCode0
Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation StrategiesCode1
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image SegmentationCode4
Medical Image Segmentation with InTEnt: Integrated Entropy Weighting for Single Image Test-Time AdaptationCode1
BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image SegmentationCode2
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation0
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image SegmentationCode4
Expert-Adaptive Medical Image Segmentation0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain0
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image SegmentationCode4
Constrained Multiview Representation for Self-supervised Contrastive Learning0
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical SegmentationCode0
Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingCode3
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation0
SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation0
VM-UNet: Vision Mamba UNet for Medical Image SegmentationCode4
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image SegmentationCode2
Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation0
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and ClassificationCode0
SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed ScenesCode1
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image SegmentationCode0
ParaTransCNN: Parallelized TransCNN Encoder for Medical Image SegmentationCode1
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
ProCNS: Progressive Prototype Calibration and Noise Suppression for Weakly-Supervised Medical Image SegmentationCode1
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image SegmentationCode4
Tyche: Stochastic In-Context Learning for Medical Image SegmentationCode2
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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