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 376–400 of 2089 papers

Title	Date	Tasks	Status	Hype
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation	May 15, 2023	DecoderFlood extent forecasting	CodeCode Available	1
Meta-Polyp: a baseline for efficient Polyp segmentation	May 13, 2023	DecoderMedical Image Segmentation	CodeCode Available	1
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation	May 1, 2023	Boundary DetectionDecoder	CodeCode Available	1
Polyp-SAM: Transfer SAM for Polyp Segmentation	Apr 29, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Segment Anything Model for Medical Images?	Apr 28, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
GazeSAM: What You See is What You Segment	Apr 26, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models	Apr 26, 2023	DiversityImage Generation	CodeCode Available	1
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation	Apr 25, 2023	Computed Tomography (CT)Image Segmentation	CodeCode Available	1
Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model	Apr 22, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation	Apr 21, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Segment Anything Model for Medical Image Analysis: an Experimental Study	Apr 20, 2023	Image SegmentationInteractive Segmentation	CodeCode Available	1
Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation	Apr 15, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Automated computed tomography and magnetic resonance imaging segmentation using deep learning: a beginner's guide	Apr 12, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation	Apr 10, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
UniSeg: A Prompt-driven Universal Segmentation Model as well as A Strong Representation Learner	Apr 7, 2023	DecoderImage Segmentation	CodeCode Available	1
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts	Apr 6, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast	Apr 5, 2023	Contrastive LearningImage Segmentation	CodeCode Available	1
Learning with Explicit Shape Priors for Medical Image Segmentation	Mar 31, 2023	Image SegmentationMedical Image Analysis	CodeCode Available	1
Directional Connectivity-based Segmentation of Medical Images	Mar 31, 2023	DisentanglementImage Segmentation	CodeCode Available	1
Dual Cross-Attention for Medical Image Segmentation	Mar 30, 2023	Decoder	CodeCode Available	1
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation	Mar 29, 2023	DecoderImage Segmentation	CodeCode Available	1
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation	Mar 29, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation	Mar 25, 2023	Image SegmentationLesion Segmentation	CodeCode Available	1
Few Shot Medical Image Segmentation with Cross Attention Transformer	Mar 24, 2023	Few-Shot LearningImage Segmentation	CodeCode Available	1
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation	Mar 24, 2023	Image SegmentationMedical Image 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