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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

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Showing 901–950 of 2089 papers

TitleStatusHype
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
Pitfalls of topology-aware image segmentation—0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated LearningCode0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
In-context learning for medical image segmentation—0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation—0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its DeploymentCode0
How to select slices for annotation to train best-performing deep learning segmentation models for cross-sectional medical images?—0
Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors—0
Annotation-Efficient Task Guidance for Medical Segment AnythingCode0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the DecoderCode0
BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans—0
Dilated Balanced Cross Entropy Loss for Medical Image Segmentation—0
From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation—0
RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation—0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical ImagingCode0
Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype—0
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities—0
TSUBF-Net: Trans-Spatial UNet-like Network with Bi-direction Fusion for Segmentation of Adenoid Hypertrophy in CT—0
DPE-Net: Dual-Parallel Encoder Based Network for Semantic Segmentation of Polyps—0
FAN-Unet: Enhancing Unet with vision Fourier Analysis Block for Biomedical Image Segmentation—0
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation—0
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation—0
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation—0
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow NetworkCode0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation—0
Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT SegmentationCode0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical SegmentationCode0
DiM: f-Divergence Minimization Guided Sharpness-Aware Optimization for Semi-supervised Medical Image Segmentation—0
TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation—0
SP ^3 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation—0
KAN-Mamba FusionNet: Redefining Medical Image Segmentation with Non-Linear Modeling—0
Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks—0
FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention—0
CoSAM: Self-Correcting SAM for Domain Generalization in 2D Medical Image Segmentation—0
ScribbleVS: Scribble-Supervised Medical Image Segmentation via Dynamic Competitive Pseudo Label SelectionCode0
Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images—0
OOD-SEG: Out-Of-Distribution detection for image SEGmentation with sparse multi-class positive-only annotations—0
Zero-shot capability of SAM-family models for bone segmentation in CT scans—0
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal MechanismsCode0
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All datasetsKvasir-SEGCVC-ClinicDBCVC-ColonDBETIS-LARIBPOLYPDBSynapse multi-organ CTAutomatic Cardiac Diagnosis Challenge (ACDC)MoNuSeg2018 Data Science BowlGlaSBKAI-IGH NeoPolyp-SmallMICCAI 2015 Multi-Atlas Abdomen Labeling ChallengeACDC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.95—Unverified
2EffiSegNet-B5mean Dice0.95—Unverified
3EffiSegNet-B4mean Dice0.95—Unverified
4SegMedmean Dice0.95—Unverified
5FCB Formermean Dice0.94—Unverified
6FCB-SwinV2 Transformermean Dice0.94—Unverified
7SEPmean Dice0.94—Unverified
8LM-Netmean Dice0.94—Unverified
9RAPUNetmean Dice0.94—Unverified
10FCBFormermean Dice0.94—Unverified
#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.97—Unverified
2RAPUNetmean Dice0.96—Unverified
3EMCADmean Dice0.95—Unverified
4Yolo-SAM 2mean Dice0.95—Unverified
5RaBiTmean Dice0.95—Unverified
6UGCANetmean Dice0.95—Unverified
7ESFPNet-Lmean Dice0.95—Unverified
8FCBFormermean Dice0.95—Unverified
9DuATmean Dice0.95—Unverified
10SegMedmean Dice0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.95—Unverified
2DUCK-Netmean Dice0.94—Unverified
3EMCADmean Dice0.92—Unverified
4SegMedmean Dice0.92—Unverified
5UniNetmean Dice0.92—Unverified
6ProMISemean Dice0.87—Unverified
7Meta-Polypmean Dice0.87—Unverified
8ResUNet++ + TTAmean Dice0.85—Unverified
9PVT-GCASCADEmean Dice0.83—Unverified
10PVT-CASCADEmean Dice0.83—Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.96—Unverified
2SegMedmean Dice0.94—Unverified
3DUCK-Netmean Dice0.94—Unverified
4EMCADmean Dice0.92—Unverified
5ProMISemean Dice0.84—Unverified
6RSAFormermean Dice0.84—Unverified
7ESFPNet-Lmean Dice0.82—Unverified
8DuATmean Dice0.82—Unverified
9PVT-CASCADEmean Dice0.8—Unverified
10SSFormer-Lmean Dice0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Interactive AI-SAM gt boxAvg DSC90.66—Unverified
2Medical SAM AdapterAvg DSC89.8—Unverified
3MedSegDiff-v2Avg DSC89.5—Unverified
4nnUNetAvg DSC88.8—Unverified
5MedNeXt-L (5x5x5)Avg DSC88.76—Unverified
6MISTAvg DSC86.92—Unverified
7nnFormerAvg DSC86.57—Unverified
8AgileFormerAvg DSC86.11—Unverified
9MERITAvg DSC84.9—Unverified
10Automatic AI-SAMAvg DSC84.21—Unverified
#ModelMetricClaimedVerifiedStatus
1FCTAvg DSC94.26—Unverified
2Interactive AI-SAM gt boxAvg DSC93.89—Unverified
3FCTAvg DSC93.02—Unverified
4LHU-NetAvg DSC92.65—Unverified
5MISTAvg DSC92.56—Unverified
6MERITAvg DSC92.32—Unverified
7MERIT-GCASCADEAvg DSC92.23—Unverified
8EMCADAvg DSC92.12—Unverified
9nnFormerAvg DSC92.06—Unverified
10Automatic AI-SAMAvg DSC92.06—Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6—Unverified