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 1901–1925 of 2089 papers

Title	Date	Tasks	Status	Hype
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation	Sep 2, 2019	GPUImage Segmentation	—Unverified	0
Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation	Sep 1, 2019	3D Medical Imaging SegmentationMedical Image Segmentation	CodeCode Available	0
Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions	Aug 31, 2019	Image SegmentationLesion Segmentation	CodeCode Available	1
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation	Aug 27, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans	Aug 26, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks	Aug 23, 2019	Image SegmentationLesion Segmentation	—Unverified	0
End-to-End Boundary Aware Networks for Medical Image Segmentation	Aug 21, 2019	Brain Tumor SegmentationImage Segmentation	—Unverified	0
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis	Aug 19, 2019	AnatomyBrain Tumor Segmentation	CodeCode Available	1
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation	Aug 17, 2019	Deep LearningImage Segmentation	—Unverified	0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation	Aug 14, 2019	DecoderImage Segmentation	CodeCode Available	0
Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation	Aug 14, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation	Aug 9, 2019	DecoderImage Segmentation	—Unverified	0
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation	Aug 7, 2019	Computed Tomography (CT)Image Segmentation	—Unverified	0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis	Aug 6, 2019	Computed Tomography (CT)Data Augmentation	—Unverified	0
U-Net Fixed-Point Quantization for Medical Image Segmentation	Aug 2, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation	Jul 29, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Self-Adaptive 2D-3D Ensemble of Fully Convolutional Networks for Medical Image Segmentation	Jul 26, 2019	Image SegmentationMedical Image Analysis	—Unverified	0
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation	Jul 25, 2019	Image SegmentationMedical Image Analysis	CodeCode Available	0
Mixed-Supervised Dual-Network for Medical Image Segmentation	Jul 24, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes	Jul 23, 2019	Computed Tomography (CT)Data Augmentation	—Unverified	0
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke	Jul 16, 2019	DecoderImage Segmentation	CodeCode Available	0
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation	Jul 16, 2019	Image SegmentationLeft Atrium Segmentation	CodeCode Available	1
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention	Jul 15, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	0
A Divide-and-Conquer Approach towards Understanding Deep Networks	Jul 14, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation	Jul 7, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available	0

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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