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 201250 of 2089 papers

TitleStatusHype
Medical Semantic Segmentation with Diffusion Pretrain0
Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference EnginesCode0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation0
Point Cloud Upsampling as Statistical Shape Model for Pelvic0
LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images0
SeqSeg: Learning Local Segments for Automatic Vascular Model ConstructionCode1
ENSeg: A Novel Dataset and Method for the Segmentation of Enteric Neuron Cells on Microscopy ImagesCode0
A generalizable 3D framework and model for self-supervised learning in medical imagingCode2
MedicoSAM: Towards foundation models for medical image segmentationCode1
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learningCode0
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-k Patch Sampling0
Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation0
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation0
RWKV-UNet: Improving UNet with Long-Range Cooperation for Effective Medical Image SegmentationCode2
FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation0
UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTMCode0
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy LabelsCode0
PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image SegmentationCode0
Rethinking domain generalization in medical image segmentation: One image as one domain0
CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images0
LM-Net: A Light-weight and Multi-scale Network for Medical Image SegmentationCode1
AIF-SFDA: Autonomous Information Filter-driven Source-Free Domain Adaptation for Medical Image SegmentationCode1
PARF-Net: integrating pixel-wise adaptive receptive fields into hybrid Transformer-CNN network for medical image segmentation0
GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image SegmentationCode0
Framework for lung CT image segmentation based on UNet++0
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation0
KM-UNet KAN Mamba UNet for medical image segmentationCode1
tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation0
EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation0
Tree-NET: Enhancing Medical Image Segmentation Through Efficient Low-Level Feature Training0
Merging Context Clustering with Visual State Space Models for Medical Image SegmentationCode2
nnY-Net: Swin-NeXt with Cross-Attention for 3D Medical Images Segmentation0
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image SegmentationCode1
Take the Bull by the Horns: Learning to Segment Hard SamplesCode0
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation0
A Semantic Knowledge Complementarity based Decoupling Framework for Semi-supervised Class-imbalanced Medical Image Segmentation0
The Impact Label Noise and Choice of Threshold has on Cross-Entropy and Soft-Dice in Image Segmentation0
beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation0
Annotation Ambiguity Aware Semi-Supervised Medical Image Segmentation0
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance DependenciesCode0
Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation0
ProKAN: Progressive Stacking of Kolmogorov-Arnold Networks for Efficient Liver Segmentation0
Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging SegmentationCode1
Federated Learning with Partially Labeled Data: A Conditional Distillation Approach0
HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image SegmentationCode0
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image SegmentationCode1
PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation0
SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image SegmentationCode0
Efficient MedSAMs: Segment Anything in Medical Images on LaptopCode7
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
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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
9SegMedmean Dice0.95Unverified
10DuATmean 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
9Automatic AI-SAMAvg DSC92.06Unverified
10nnFormerAvg DSC92.06Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6Unverified