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 201–225 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
CENet: Context Enhancement Network for Medical Image Segmentation	May 23, 2025	DecoderImage Segmentation	CodeCode Available	1	5
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation	Apr 28, 2020	DecoderImage Segmentation	CodeCode Available	1	5
ACC-UNet: A Completely Convolutional UNet model for the 2020s	Aug 25, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation	Feb 21, 2021	Image SegmentationKnowledge Distillation	CodeCode Available	1	5
Channel prior convolutional attention for medical image segmentation	Jun 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation	May 10, 2021	DecoderGPU	CodeCode Available	1	5
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation	Jul 27, 2022	Data AugmentationDeep Reinforcement Learning	CodeCode Available	1	5
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images	Jul 31, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1	5
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 Challenge	Oct 6, 2021	Brain Tumor SegmentationDecoder	CodeCode Available	1	5
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation	Dec 7, 2023	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1	5
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks	Mar 28, 2020	3D Medical Imaging SegmentationAction Recognition	CodeCode Available	1	5
CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network	Oct 24, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical Imaging	Nov 25, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment	Mar 1, 2023	Medical Image SegmentationSegmentation	CodeCode Available	1	5
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation	Sep 26, 2023	DecoderImage Segmentation	CodeCode Available	1	5
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation	Jul 22, 2023	Active LearningImage Segmentation	CodeCode Available	1	5
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation	Apr 15, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation	Oct 30, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1	5
CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects	Aug 16, 2021	Medical Image SegmentationSegmentation	CodeCode Available	1	5
Attentive Symmetric Autoencoder for Brain MRI Segmentation	Sep 19, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images	Jul 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation	Jun 6, 2023	DenoisingImage Generation	CodeCode Available	1	5
Annotation-efficient deep learning for automatic medical image segmentation	Dec 9, 2020	Deep LearningImage Segmentation	CodeCode Available	1	5
Contextual Attention Network: Transformer Meets U-Net	Mar 2, 2022	ArticlesImage Segmentation	CodeCode Available	1	5
Directional Connectivity-based Segmentation of Medical Images	Mar 31, 2023	DisentanglementImage Segmentation	CodeCode Available	1	5

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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