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 301–325 of 2089 papers

Title	Date	Tasks	Status	Hype
DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model	Oct 19, 2023	Data AugmentationImage Generation	CodeCode Available	1
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation	Oct 17, 2023	Domain AdaptationDomain Generalization	CodeCode Available	1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision Transformers	Oct 9, 2023	Heart SegmentationImage Generation	CodeCode Available	1
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation	Oct 9, 2023	Image SegmentationLesion Segmentation	CodeCode Available	1
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation	Oct 8, 2023	Data AugmentationImage Segmentation	CodeCode Available	1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution	Sep 30, 2023	Computational EfficiencyImage Segmentation	CodeCode Available	1
fastMONAI: A low-code deep learning library for medical image analysis	Sep 26, 2023	Medical Image AnalysisMedical Image Classification	CodeCode Available	1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation	Sep 26, 2023	DecoderImage Segmentation	CodeCode Available	1
MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for Echocardiography	Sep 24, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation	Sep 20, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
UPL-SFDA: Uncertainty-aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation	Sep 19, 2023	Brain SegmentationDomain Adaptation	CodeCode Available	1
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation	Sep 16, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation	Sep 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
ConvFormer: Plug-and-Play CNN-Style Transformers for Improving Medical Image Segmentation	Sep 9, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer	Sep 9, 2023	DiversityFew-Shot Learning	CodeCode Available	1
M3D-NCA: Robust 3D Segmentation with Built-in Quality Control	Sep 6, 2023	HippocampusImage Segmentation	CodeCode Available	1
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation	Sep 6, 2023	DecoderEdge Detection	CodeCode Available	1
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning	Aug 31, 2023	DecoderFew-Shot Learning	CodeCode Available	1
Self-supervised Semantic Segmentation: Consistency over Transformation	Aug 31, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models	Aug 30, 2023	DenoisingImage Segmentation	CodeCode Available	1
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation	Aug 26, 2023	Image SegmentationLesion Segmentation	CodeCode Available	1
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers	Aug 25, 2023	DecoderImage Segmentation	CodeCode Available	1
ACC-UNet: A Completely Convolutional UNet model for the 2020s	Aug 25, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation	Aug 23, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation Dataset	Aug 22, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1

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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