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 401450 of 2089 papers

TitleStatusHype
Orthogonal Annotation Benefits Barely-supervised Medical Image SegmentationCode1
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain GeneralizationCode1
Feature Alignment and Uniformity for Test Time AdaptationCode1
HybridMIM: A Hybrid Masked Image Modeling Framework for 3D Medical Image SegmentationCode1
Prototype Knowledge Distillation for Medical Segmentation with Missing ModalityCode1
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-LabelingCode1
TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution TestingCode1
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image SegmentationCode1
Coarse-to-Fine Covid-19 Segmentation via Vision-Language AlignmentCode1
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance SegmentationCode1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuningCode1
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentationCode1
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image AnalysisCode1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image SegmentationCode1
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular AutomataCode1
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction PerspectiveCode1
Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image SegmentationCode1
Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion ApproachCode1
Active learning for medical image segmentation with stochastic batchesCode1
Multi Kernel Positional Embedding ConvNeXt for Polyp SegmentationCode1
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image SegmentationCode1
Self-Supervised Correction Learning for Semi-Supervised Biomedical Image SegmentationCode1
pyssam -- a Python library for statistical modelling of biomedical shape and appearanceCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challengeCode1
Medical Image Segmentation via Cascaded Attention DecodingCode1
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image SegmentationCode1
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image SegmentationCode1
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated UncertaintyCode1
MCF: Mutual Correction Framework for Semi-Supervised Medical Image SegmentationCode1
MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and RecoveryCode1
DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
Segmentation Ability Map: Interpret deep features for medical image segmentationCode1
Focal-UNet: UNet-like Focal Modulation for Medical Image SegmentationCode1
LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentationCode1
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image SegmentationCode1
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image SegmentationCode1
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image SegmentationCode1
Prompt Tuning for Parameter-efficient Medical Image SegmentationCode1
Learning from partially labeled data for multi-organ and tumor segmentationCode1
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentationCode1
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled DataCode1
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation NetworkCode1
Non-Iterative Scribble-Supervised Learning with Pacing Pseudo-Masks for Medical Image SegmentationCode1
Optimizing Vision Transformers for Medical Image SegmentationCode1
Benchmarking saliency methods for chest X-ray interpretationCode1
PLN: Parasitic-Like Network for Barely Supervised Medical Image SegmentationCode1
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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