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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1151–1200 of 2089 papers

TitleStatusHype
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation—0
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation—0
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets—0
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior—0
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation—0
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation—0
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
ChebMixer: Efficient Graph Representation Learning with MLP Mixer—0
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging—0
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation—0
Deep models for stroke segmentation: do complex architectures always perform better?—0
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image SegmentationCode0
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images—0
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentationCode0
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image AnnotationsCode0
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation—0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
ProMamba: Prompt-Mamba for polyp segmentation—0
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge—0
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency—0
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image SegmentationCode0
Topologically Faithful Multi-class Segmentation in Medical Images—0
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation—0
Federated Data Model—0
A Segmentation Foundation Model for Diverse-type Tumors—0
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image SegmentationCode0
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset—0
Shortcut Learning in Medical Image SegmentationCode0
Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation—0
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation—0
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation—0
Efficient 3D affinely equivariant CNNs with adaptive fusion of augmented spherical Fourier-Bessel basesCode0
Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image SegmentationCode0
FESS Loss: Feature-Enhanced Spatial Segmentation Loss for Optimizing Medical Image AnalysisCode0
Two-Stage Multi-task Self-Supervised Learning for Medical Image Segmentation—0
Expert-Adaptive Medical Image Segmentation—0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain—0
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical SegmentationCode0
Constrained Multiview Representation for Self-supervised Contrastive Learning—0
Densely Decoded Networks with Adaptive Deep Supervision for Medical Image Segmentation—0
SPCTNet: A Series-Parallel CNN and Transformer Network for 3D Medical Image Segmentation—0
Exploring Intrinsic Properties of Medical Images for Self-Supervised Binary Semantic Segmentation—0
VIS-MAE: An Efficient Self-supervised Learning Approach on Medical Image Segmentation and ClassificationCode0
Analog In-Memory Computing with Uncertainty Quantification for Efficient Edge-based Medical Imaging Segmentation—0
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image SegmentationCode0
MOSformer: Momentum encoder-based inter-slice fusion transformer for medical image segmentation—0
Susceptibility of Adversarial Attack on Medical Image Segmentation ModelsCode0
Artificial Intelligence-based algorithms in medical image scan seg-mentation and intelligent visual-content generation -- a concise overview—0
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation—0
Show:102550
← PrevPage 24 of 42Next →
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