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 12511300 of 2089 papers

TitleStatusHype
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features0
BUNET: Blind Medical Image Segmentation Based on Secure UNET0
BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation0
C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation0
CAD: Confidence-Aware Adaptive Displacement for Semi-Supervised Medical Image Segmentation0
CAggNet: Crossing Aggregation Network for Medical Image Segmentation0
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results0
CAN3D: Fast 3D Medical Image Segmentation via Compact Context Aggregation0
Can segmentation models be trained with fully synthetically generated data?0
CapsNet for Medical Image Segmentation0
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis0
Cardiac MR Image Segmentation Techniques: an overview0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions0
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation0
Catalyzing Clinical Diagnostic Pipelines Through Volumetric Medical Image Segmentation Using Deep Neural Networks: Past, Present, & Future0
Cats: Complementary CNN and Transformer Encoders for Segmentation0
Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation0
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets0
CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images0
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection0
Challenge Results Are Not Reproducible0
Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation0
Chan-Vese Attention U-Net: An attention mechanism for robust segmentation0
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars0
ChebMixer: Efficient Graph Representation Learning with MLP Mixer0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation0
Class-Aware Adversarial Transformers for Medical Image Segmentation0
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation0
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation0
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction0
COMMA: Propagating Complementary Multi-Level Aggregation Network for Polyp Segmentation0
Comparative Analysis of Segment Anything Model and U-Net for Breast Tumor Detection in Ultrasound and Mammography Images0
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation0
Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation0
Complementary Information Mutual Learning for Multimodality Medical Image Segmentation0
Compositionally Equivariant Representation Learning0
Comprehensive Multimodal Segmentation in Medical Imaging: Combining YOLOv8 with SAM and HQ-SAM Models0
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks0
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation0
Confidence Intervals for Performance Estimates in Brain MRI Segmentation0
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation0
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images0
Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts0
Constrained Multiview Representation for Self-supervised Contrastive Learning0
Contextual Hourglass Networks for Segmentation and Density Estimation0
Contextual Information Enhanced Convolutional Neural Networks for Retinal Vessel Segmentation in Color Fundus Images0
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans0
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans0
Continuous Online Adaptation Driven by User Interaction for Medical Image Segmentation0
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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