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 9511000 of 2089 papers

TitleStatusHype
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging0
Self-supervised learning via inter-modal reconstruction and feature projection networks for label-efficient 3D-to-2D segmentationCode0
SegNetr: Rethinking the local-global interactions and skip connections in U-shaped networks0
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive LearningCode1
MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation DatasetsCode1
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images0
Source Identification: A Self-Supervision Task for Dense Prediction0
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation0
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Multiscale Progressive Text Prompt Network for Medical Image Segmentation0
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and ClassificationCode0
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated DatasetCode2
MLA-BIN: Model-level Attention and Batch-instance Style Normalization for Domain Generalization of Federated Learning on Medical Image Segmentation0
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural NetworksCode0
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation0
1M parameters are enough? A lightweight CNN-based model for medical image segmentationCode1
FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium SegmentationCode0
Introducing A Novel Method For Adaptive Thresholding In Brain Tumor Medical Image Segmentation0
Scribble-supervised Cell Segmentation Using Multiscale Contrastive RegularizationCode0
AttResDU-Net: Medical Image Segmentation Using Attention-based Residual Double U-NetCode0
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation0
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical ImagesCode1
Limitations of Out-of-Distribution Detection in 3D Medical Image Segmentation0
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentationCode2
Ladder Fine-tuning approach for SAM integrating complementary networkCode1
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images0
Learnable Weight Initialization for Volumetric Medical Image SegmentationCode1
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion ModelsCode1
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder0
Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation0
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation0
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation0
TomoSAM: a 3D Slicer extension using SAM for tomography segmentationCode1
Compositionally Equivariant Representation Learning0
LDMRes-Net: Enabling Efficient Medical Image Segmentation on IoT and Edge Platforms0
ViG-UNet: Vision Graph Neural Networks for Medical Image SegmentationCode0
Channel prior convolutional attention for medical image segmentationCode1
Unsupervised augmentation optimization for few-shot medical image segmentation0
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image SegmentationCode1
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation0
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image SegmentationCode1
A Dataset for Deep Learning-based Bone Structure Analyses in Total Hip ArthroplastyCode0
Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image SegmentationCode0
Instructive Feature Enhancement for Dichotomous Medical Image SegmentationCode1
Conditional Diffusion Models for Weakly Supervised Medical Image SegmentationCode1
Structurally Different Neural Network Blocks for the Segmentation of Atrial and Aortic Perivascular Adipose Tissue in Multi-centre CT Angiography Scans0
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation0
Volumetric medical image segmentation through dual self-distillation in U-shaped networksCode0
Show:102550
← PrevPage 20 of 42Next →

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