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 15011550 of 2089 papers

TitleStatusHype
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images0
Large Batch and Patch Size Training for Medical Image Segmentation0
Diversity-Promoting Ensemble for Medical Image Segmentation0
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images0
Cutting-Splicing data augmentation: A novel technology for medical image segmentation0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation0
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images0
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image SegmentationCode0
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners0
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksCode0
A Learning-based Framework for Topology-Preserving Segmentation using Quasiconformal Mappings0
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift0
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical SegmentationCode0
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited LabelsCode0
Sauron U-Net: Simple automated redundancy elimination in medical image segmentation via filter pruningCode0
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference AnnotationsCode0
Can segmentation models be trained with fully synthetically generated data?0
Automated Segmentation and Recurrence Risk Prediction of Surgically Resected Lung Tumors with Adaptive Convolutional Neural NetworksCode0
Contrastive Re-localization and History Distillation in Federated CMR Segmentation0
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss0
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation0
Whole-Body Lesion Segmentation in 18F-FDG PET/CTCode0
Medical Image Segmentation using LeViT-UNet++: A Case Study on GI Tract Data0
Label Refinement Network from Synthetic Error Augmentation for Medical Image SegmentationCode0
Calibrating Segmentation Networks with Margin-based Label SmoothingCode0
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image SegmentationCode0
An evaluation of U-Net in Renal Structure Segmentation0
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation0
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI0
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior0
Cats: Complementary CNN and Transformer Encoders for Segmentation0
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model0
CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical ImageCode0
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation0
An Efficient Multi-Scale Fusion Network for 3D Organ at Risk (OAR) Segmentation0
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms0
KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation0
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation0
Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma0
Distributed Contrastive Learning for Medical Image Segmentation0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Lung nodules segmentation from CT with DeepHealth toolkit0
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation0
FCSN: Global Context Aware Segmentation by Learning the Fourier Coefficients of Objects in Medical Images0
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation0
A Transformer-based Generative Adversarial Network for Brain Tumor Segmentation0
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation0
Two-Stream UNET Networks for Semantic Segmentation in Medical Images0
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation0
Exploring Generalizable Distillation for Efficient Medical Image SegmentationCode0
Show:102550
← PrevPage 31 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