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 351400 of 2089 papers

TitleStatusHype
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
Disentangling Human Error from Ground Truth in Segmentation of Medical ImagesCode1
CENet: Context Enhancement Network for Medical Image SegmentationCode1
Dual Cross-Attention for Medical Image SegmentationCode1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising ModelsCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time SegmentationCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
Channel prior convolutional attention for medical image segmentationCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image SegmentationCode1
Boundary Difference Over Union Loss For Medical Image SegmentationCode1
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray imagesCode1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image SegmentationCode1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image SegmentationCode1
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement ModelingCode1
Clustering Propagation for Universal Medical Image SegmentationCode1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural NetworksCode1
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation NetworkCode1
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Coarse-to-Fine Covid-19 Segmentation via Vision-Language AlignmentCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
ColonFormer: An Efficient Transformer based Method for Colon Polyp SegmentationCode1
Learning with Explicit Shape Priors for Medical Image SegmentationCode1
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image SegmentationCode1
Boundary-Aware Network for Kidney ParsingCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual NormalizationCode1
Efficient Medical Image Segmentation Based on Knowledge DistillationCode1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image SegmentationCode1
A Spatial Guided Self-supervised Clustering Network for Medical Image SegmentationCode1
ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationCode1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scansCode1
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image SegmentationCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image SegmentationCode1
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Conditional diffusion model with spatial attention and latent embedding for medical image segmentationCode1
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image SegmentationCode1
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI DataCode1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
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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