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 326–350 of 2089 papers

Title	Date	Tasks	Status	Hype
False Negative/Positive Control for SAM on Noisy Medical Images	Aug 20, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels	Aug 15, 2023	Instance SegmentationMedical Image Segmentation	CodeCode Available	1
Exploring Transfer Learning in Medical Image Segmentation using Vision-Language Models	Aug 15, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation	Aug 15, 2023	DecoderImage Segmentation	CodeCode Available	1
Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?	Aug 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Masked Diffusion as Self-supervised Representation Learner	Aug 10, 2023	DenoisingMedical Image Segmentation	CodeCode Available	1
CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion	Aug 2, 2023	Image SegmentationInductive Bias	CodeCode Available	1
Boundary Difference Over Union Loss For Medical Image Segmentation	Aug 1, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding	Jul 30, 2023	Decision MakingImage Segmentation	CodeCode Available	1
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MCPA: Multi-scale Cross Perceptron Attention Network for 2D Medical Image Segmentation	Jul 27, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	1
Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling	Jul 26, 2023	Classificationdomain classification	CodeCode Available	1
SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation	Jul 24, 2023	Contrastive LearningImage Reconstruction	CodeCode Available	1
Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image Segmentation	Jul 22, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation	Jul 22, 2023	Active LearningImage Segmentation	CodeCode Available	1
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation	Jul 22, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation	Jul 21, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Learning to Segment from Noisy Annotations: A Spatial Correction Approach	Jul 21, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning	Jul 19, 2023	Contrastive LearningDomain Adaptation	CodeCode Available	1
Frequency-mixed Single-source Domain Generalization for Medical Image Segmentation	Jul 18, 2023	Domain GeneralizationImage Segmentation	CodeCode Available	1
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation	Jul 14, 2023	Adversarial AttackDeep Learning	CodeCode Available	1
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation	Jul 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
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
Semi-supervised Domain Adaptive Medical Image Segmentation through Consistency Regularized Disentangled Contrastive Learning	Jul 6, 2023	Contrastive LearningDecoder	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