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 601–625 of 2089 papers

Title	Date	Tasks	Status	Hype
Medical Matting: A New Perspective on Medical Segmentation with Uncertainty	Jun 18, 2021	Image MattingImage Segmentation	CodeCode Available	1
Positional Contrastive Learning for Volumetric Medical Image Segmentation	Jun 16, 2021	Contrastive Learningimage-classification	CodeCode Available	1
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation	Jun 12, 2021	DecoderImage Segmentation	CodeCode Available	1
A multi-centre polyp detection and segmentation dataset for generalisability assessment	Jun 8, 2021	Medical Image Segmentation	CodeCode Available	1
Medical Image Segmentation Using Squeeze-and-Expansion Transformers	May 20, 2021	Brain Tumor SegmentationDomain Generalization	CodeCode Available	1
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation	May 16, 2021	Image SegmentationLesion Segmentation	CodeCode Available	1
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation	May 12, 2021	Cardiac SegmentationDecoder	CodeCode Available	1
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation	May 10, 2021	DecoderGPU	CodeCode Available	1
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!	May 3, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning	Apr 25, 2021	Image SegmentationInteractive Segmentation	CodeCode Available	1
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy	Apr 22, 2021	Colorectal Polyps CharacterizationInstrument Recognition	CodeCode Available	1
Learning Fuzzy Clustering for SPECT/CT Segmentation via Convolutional Neural Networks	Apr 17, 2021	ClusteringImage Segmentation	CodeCode Available	1
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation	Mar 31, 2021	Hard AttentionImage Segmentation	CodeCode Available	1
CateNorm: Categorical Normalization for Robust Medical Image Segmentation	Mar 29, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation	Mar 18, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation	Mar 15, 2021	Cardiac SegmentationContrastive Learning	CodeCode Available	1
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space	Mar 10, 2021	Domain GeneralizationFederated Learning	CodeCode Available	1
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation	Mar 10, 2021	DecoderImage Segmentation	CodeCode Available	1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization	Mar 8, 2021	DecoderImage Segmentation	CodeCode Available	1
Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation	Mar 8, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer	Mar 7, 2021	Brain Tumor SegmentationDecoder	CodeCode Available	1
NeRD: Neural Representation of Distribution for Medical Image Segmentation	Mar 6, 2021	Image SegmentationLesion Segmentation	CodeCode Available	1
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation	Mar 4, 2021	Image SegmentationInductive Bias	CodeCode Available	1
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training	Mar 4, 2021	Image SegmentationLeft Atrium Segmentation	CodeCode Available	1
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures	Feb 26, 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	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