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 1151–1175 of 2089 papers

Title	Date	Tasks	Status
Investigation of Energy-efficient AI Model Architectures and Compression Techniques for "Green" Fetal Brain Segmentation	Apr 3, 2024	Brain SegmentationImage Segmentation	—Unverified
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation	Apr 1, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Rethinking Information Loss in Medical Image Segmentation with Various-sized Targets	Mar 28, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior	Mar 27, 2024	AnatomyDecoder	—Unverified
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation	Mar 26, 2024	DenoisingDiversity	—Unverified
Rotate to Scan: UNet-like Mamba with Triplet SSM Module for Medical Image Segmentation	Mar 26, 2024	Image SegmentationMamba	—Unverified
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion	Mar 26, 2024	Decision MakingImage Segmentation	—Unverified
ChebMixer: Efficient Graph Representation Learning with MLP Mixer	Mar 25, 2024	Graph MiningGraph Representation Learning	—Unverified
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging	Mar 25, 2024	Few-Shot LearningImage Segmentation	—Unverified
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation	Mar 25, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Deep models for stroke segmentation: do complex architectures always perform better?	Mar 25, 2024	Deep LearningImage Segmentation	—Unverified
3D-EffiViTCaps: 3D Efficient Vision Transformer with Capsule for Medical Image Segmentation	Mar 25, 2024	DecoderHippocampus	CodeCode Available
SM2C: Boost the Semi-supervised Segmentation for Medical Image by using Meta Pseudo Labels and Mixed Images	Mar 24, 2024	Image SegmentationMedical Image Segmentation	—Unverified
SMTF: Sparse transformer with multiscale contextual fusion for medical image segmentation	Mar 24, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations	Mar 22, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
MaskSAM: Towards Auto-prompt SAM with Mask Classification for Medical Image Segmentation	Mar 21, 2024	DecoderImage Segmentation	—Unverified
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations	Mar 21, 2024	image-classificationImage Classification	—Unverified
ProMamba: Prompt-Mamba for polyp segmentation	Mar 20, 2024	Image SegmentationMamba	—Unverified
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge	Mar 19, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency	Mar 19, 2024	Data AugmentationFederated Learning	—Unverified
MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation	Mar 18, 2024	Data AugmentationDomain Generalization	CodeCode Available
Topologically Faithful Multi-class Segmentation in Medical Images	Mar 16, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation	Mar 16, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Federated Data Model	Mar 13, 2024	DiversityImage Segmentation	—Unverified
A Segmentation Foundation Model for Diverse-type Tumors	Mar 11, 2024	Image SegmentationMedical Image Segmentation	—Unverified

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All datasets Kvasir-SEG CVC-ClinicDB CVC-ColonDB ETIS-LARIBPOLYPDB Synapse multi-organ CT Automatic Cardiac Diagnosis Challenge (ACDC)MoNuSeg 2018 Data Science Bowl GlaS BKAI-IGH NeoPolyp-Small MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge ACDC

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.95	—	Unverified
2	EffiSegNet-B5	mean Dice	0.95	—	Unverified
3	EffiSegNet-B4	mean Dice	0.95	—	Unverified
4	SegMed	mean Dice	0.95	—	Unverified
5	FCB Former	mean Dice	0.94	—	Unverified
6	FCB-SwinV2 Transformer	mean Dice	0.94	—	Unverified
7	SEP	mean Dice	0.94	—	Unverified
8	LM-Net	mean Dice	0.94	—	Unverified
9	RAPUNet	mean Dice	0.94	—	Unverified
10	FCBFormer	mean Dice	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.97	—	Unverified
2	RAPUNet	mean Dice	0.96	—	Unverified
3	EMCAD	mean Dice	0.95	—	Unverified
4	Yolo-SAM 2	mean Dice	0.95	—	Unverified
5	RaBiT	mean Dice	0.95	—	Unverified
6	UGCANet	mean Dice	0.95	—	Unverified
7	ESFPNet-L	mean Dice	0.95	—	Unverified
8	FCBFormer	mean Dice	0.95	—	Unverified
9	DuAT	mean Dice	0.95	—	Unverified
10	SegMed	mean Dice	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.95	—	Unverified
2	DUCK-Net	mean Dice	0.94	—	Unverified
3	EMCAD	mean Dice	0.92	—	Unverified
4	SegMed	mean Dice	0.92	—	Unverified
5	UniNet	mean Dice	0.92	—	Unverified
6	ProMISe	mean Dice	0.87	—	Unverified
7	Meta-Polyp	mean Dice	0.87	—	Unverified
8	ResUNet++ + TTA	mean Dice	0.85	—	Unverified
9	PVT-GCASCADE	mean Dice	0.83	—	Unverified
10	PVT-CASCADE	mean Dice	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.96	—	Unverified
2	SegMed	mean Dice	0.94	—	Unverified
3	DUCK-Net	mean Dice	0.94	—	Unverified
4	EMCAD	mean Dice	0.92	—	Unverified
5	ProMISe	mean Dice	0.84	—	Unverified
6	RSAFormer	mean Dice	0.84	—	Unverified
7	ESFPNet-L	mean Dice	0.82	—	Unverified
8	DuAT	mean Dice	0.82	—	Unverified
9	PVT-CASCADE	mean Dice	0.8	—	Unverified
10	SSFormer-L	mean Dice	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Interactive AI-SAM gt box	Avg DSC	90.66	—	Unverified
2	Medical SAM Adapter	Avg DSC	89.8	—	Unverified
3	MedSegDiff-v2	Avg DSC	89.5	—	Unverified
4	nnUNet	Avg DSC	88.8	—	Unverified
5	MedNeXt-L (5x5x5)	Avg DSC	88.76	—	Unverified
6	MIST	Avg DSC	86.92	—	Unverified
7	nnFormer	Avg DSC	86.57	—	Unverified
8	AgileFormer	Avg DSC	86.11	—	Unverified
9	MERIT	Avg DSC	84.9	—	Unverified
10	Automatic AI-SAM	Avg DSC	84.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCT	Avg DSC	94.26	—	Unverified
2	Interactive AI-SAM gt box	Avg DSC	93.89	—	Unverified
3	FCT	Avg DSC	93.02	—	Unverified
4	LHU-Net	Avg DSC	92.65	—	Unverified
5	MIST	Avg DSC	92.56	—	Unverified
6	MERIT	Avg DSC	92.32	—	Unverified
7	MERIT-GCASCADE	Avg DSC	92.23	—	Unverified
8	EMCAD	Avg DSC	92.12	—	Unverified
9	nnFormer	Avg DSC	92.06	—	Unverified
10	Automatic AI-SAM	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified