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 551–575 of 2089 papers

Title	Date	Tasks	Status	Hype
One-shot Weakly-Supervised Segmentation in Medical Images	Nov 21, 2021	DenoisingImage Segmentation	CodeCode Available	1
GMSRF-Net: An improved generalizability with global multi-scale residual fusion network for polyp segmentation	Nov 20, 2021	Decoderfeature selection	CodeCode Available	1
Mixed Transformer U-Net For Medical Image Segmentation	Nov 8, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network	Nov 5, 2021	Camouflaged Object SegmentationImage Segmentation	CodeCode Available	1
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image	Nov 3, 2021	GPUImage Segmentation	CodeCode Available	1
Partial supervision for the FeTA challenge 2021	Nov 3, 2021	Brain SegmentationImage Segmentation	CodeCode Available	1
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations with Limited Labels	Oct 23, 2021	Decoderimage-classification	CodeCode Available	1
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation	Oct 17, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training	Oct 11, 2021	Federated LearningImage Segmentation	CodeCode Available	1
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations	Oct 7, 2021	ClassificationMedical Image Segmentation	CodeCode Available	1
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
Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation	Oct 5, 2021	Data AugmentationDeep Learning	CodeCode Available	1
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation	Oct 5, 2021	Data AugmentationImage Segmentation	CodeCode Available	1
Training on Polar Image Transformations Improves Biomedical Image Segmentation	Sep 29, 2021	Image SegmentationLesion Segmentation	CodeCode Available	1
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation	Sep 21, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Segmentation with mixed supervision: Confidence maximization helps knowledge distillation	Sep 21, 2021	Image SegmentationKnowledge Distillation	CodeCode Available	1
Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation	Sep 18, 2021	Domain GeneralizationImage Segmentation	CodeCode Available	1
MISSFormer: An Effective Medical Image Segmentation Transformer	Sep 15, 2021	Cardiac SegmentationImage Segmentation	CodeCode Available	1
Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation	Sep 15, 2021	Contrastive LearningImage Segmentation	CodeCode Available	1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation	Sep 13, 2021	DecoderDomain Generalization	CodeCode Available	1
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer	Sep 9, 2021	DecoderImage Segmentation	CodeCode Available	1
nnFormer: Interleaved Transformer for Volumetric Segmentation	Sep 7, 2021	Image SegmentationInductive Bias	CodeCode Available	1
Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networks	Sep 3, 2021	DecoderImage Segmentation	CodeCode Available	1
Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training	Aug 26, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts	Aug 26, 2021	Continual LearningImage Reconstruction	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