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 351–375 of 2089 papers

Title	Date	Tasks	Status	Hype
Contrastive Registration for Unsupervised Medical Image Segmentation	Nov 17, 2020	Contrastive LearningImage Segmentation	CodeCode Available	1
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image Segmentation	Jun 9, 2024	Cardiac SegmentationDecoder	CodeCode Available	1
CENet: Context Enhancement Network for Medical Image Segmentation	May 23, 2025	DecoderImage Segmentation	CodeCode Available	1
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation	Oct 24, 2023	DecoderImage Segmentation	CodeCode Available	1
A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models	Aug 30, 2023	DenoisingImage Segmentation	CodeCode Available	1
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization	Dec 21, 2021	Domain AdaptationDomain Generalization	CodeCode Available	1
CateNorm: Categorical Normalization for Robust Medical Image Segmentation	Mar 29, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segmentation	Aug 25, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning	Feb 22, 2023	Image SegmentationImage Super-Resolution	CodeCode Available	1
Channel prior convolutional attention for medical image segmentation	Jun 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation	Mar 16, 2022	Image SegmentationKnowledge Distillation	CodeCode Available	1
GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled Data	Aug 9, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Boundary Difference Over Union Loss For Medical Image Segmentation	Aug 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation	Feb 21, 2021	Image SegmentationKnowledge Distillation	CodeCode Available	1
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans	Sep 10, 2020	GPUImage Segmentation	CodeCode Available	1
HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans	May 23, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation	Apr 28, 2020	DecoderImage 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
Boundary-Aware Network for Kidney Parsing	Aug 29, 2022	DecoderImage Segmentation	CodeCode Available	1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images	Sep 1, 2022	Boundary DetectionDecoder	CodeCode Available	1
Clustering Propagation for Universal Medical Image Segmentation	Mar 25, 2024	ClusteringImage Segmentation	CodeCode Available	1
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging	Nov 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Boundary-Aware Network for Abdominal Multi-Organ Segmentation	Aug 29, 2022	DecoderImage Segmentation	CodeCode Available	1
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network	Oct 24, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation	Jun 12, 2021	DecoderImage 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	SegMed	mean Dice	0.95	—	Unverified
10	DuAT	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	Automatic AI-SAM	Avg DSC	92.06	—	Unverified
10	nnFormer	Avg DSC	92.06	—	Unverified

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