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 551600 of 2089 papers

TitleStatusHype
HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT ScansCode1
DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image SegmentationCode0
A temporal enhanced semi-supervised segmentation network for needle detection in 3D ultrasound images0
Hi-gMISnet: generalized medical image segmentation using DWT based multilayer fusion and dual mode attention into high resolution pGANCode0
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation0
Blackbox Adaptation for Medical Image SegmentationCode0
Rethinking Barely-Supervised Volumetric Medical Image Segmentation from an Unsupervised Domain Adaptation PerspectiveCode0
CTS: A Consistency-Based Medical Image Segmentation ModelCode0
Shape-aware synthesis of pathological lung CT scans using CycleGAN for enhanced semi-supervised lung segmentationCode0
Towards Clinician-Preferred Segmentation: Leveraging Human-in-the-Loop for Test Time Adaptation in Medical Image Segmentation0
Support-Query Prototype Fusion Network for Few-shot Medical Image Segmentation0
Adaptation of Distinct Semantics for Uncertain Areas in Polyp SegmentationCode0
Leveraging Fixed and Dynamic Pseudo-labels for Semi-supervised Medical Image Segmentation0
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image SegmentationCode3
PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix AugmentationCode0
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale AttentionCode2
VLSM-Adapter: Finetuning Vision-Language Segmentation Efficiently with Lightweight BlocksCode1
Enhancing surgical instrument segmentation: integrating vision transformer insights with adapterCode1
HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation0
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI0
Implantable Adaptive Cells: differentiable architecture search to improve the performance of any trained U-shaped networkCode0
On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural NetworksCode0
RaffeSDG: Random Frequency Filtering enabled Single-source Domain Generalization for Medical Image SegmentationCode1
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge DistillationCode1
Predictive Accuracy-Based Active Learning for Medical Image SegmentationCode0
DmADs-Net: Dense multiscale attention and depth-supervised network for medical image segmentation0
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image SegmentationCode2
A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice AttentionCode1
Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical ImagingCode0
Segmentation Quality and Volumetric Accuracy in Medical Imaging0
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic SegmentationCode0
Discriminative features pyramid network for medical image segmentationCode0
Discriminative features pyramid network for medical image segmentationCode0
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image SegmentationCode1
Multimodal Information Interaction for Medical Image SegmentationCode2
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models0
DiffSeg: A Segmentation Model for Skin Lesions Based on Diffusion Difference0
Mitigating False Predictions In Unreasonable Body Regions0
CFPFormer: Feature-pyramid like Transformer Decoder for Segmentation and Detection0
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound ImagesCode1
PEMMA: Parameter-Efficient Multi-Modal Adaptation for Medical Image Segmentation0
Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models0
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images0
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation0
Boosting Medical Image Segmentation Performance with Adaptive Convolution LayerCode0
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation0
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything ModelCode3
SegFormer3D: an Efficient Transformer for 3D Medical Image SegmentationCode3
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionCode0
nnU-Net Revisited: A Call for Rigorous Validation in 3D 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