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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2001–2025 of 2089 papers

Title	Date	Tasks	Status
Deep feature transfer between localization and segmentation tasks	Nov 6, 2018	Image SegmentationMedical Image Segmentation	—Unverified
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans	Nov 4, 2018	Brain Tumor SegmentationDeep Attention	CodeCode Available
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning	Oct 29, 2018	3D Medical Imaging SegmentationBrain Image Segmentation	CodeCode Available
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation	Oct 18, 2018	Image SegmentationLesion Segmentation	CodeCode Available
LadderNet: Multi-path networks based on U-Net for medical image segmentation	Oct 17, 2018	DecoderImage Segmentation	CodeCode Available
A Novel Domain Adaptation Framework for Medical Image Segmentation	Oct 11, 2018	Domain AdaptationImage Registration	—Unverified
UOLO - automatic object detection and segmentation in biomedical images	Oct 9, 2018	Fovea DetectionMedical Image Segmentation	—Unverified
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?	Oct 3, 2018	Data AugmentationImage Segmentation	—Unverified
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation	Oct 3, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Modern Convex Optimization to Medical Image Analysis	Sep 24, 2018	Computed Tomography (CT)Image Segmentation	—Unverified
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks	Sep 7, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach	Sep 5, 2018	DecoderGenerative Adversarial Network	—Unverified
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes	Aug 31, 2018	Brain SegmentationImage Segmentation	—Unverified
Segmentation of Microscopy Data for finding Nuclei in Divergent Images	Aug 19, 2018	Cell SegmentationImage Segmentation	—Unverified
Holographic Visualisation of Radiology Data and Automated Machine Learning-based Medical Image Segmentation	Aug 15, 2018	BIG-bench Machine LearningComputed Tomography (CT)	—Unverified
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy	Aug 15, 2018	3D Medical Imaging SegmentationAnatomy	CodeCode Available
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI	Aug 5, 2018	Domain AdaptationImage Segmentation	—Unverified
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation	Jul 19, 2018	3D Medical Imaging SegmentationMedical Image Segmentation	CodeCode Available
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks	Jul 19, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Automatically Designing CNN Architectures for Medical Image Segmentation	Jul 19, 2018	DecoderImage Segmentation	—Unverified
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation	Jul 16, 2018	Data AugmentationMedical Image Analysis	CodeCode Available
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network	Jul 15, 2018	Hippocampusimage-classification	—Unverified
Learning to Segment Medical Images with Scribble-Supervision Alone	Jul 12, 2018	AnatomyImage Segmentation	—Unverified
Prostate Segmentation using 2D Bridged U-net	Jul 12, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions	Jun 22, 2018	Deep LearningImage Segmentation	—Unverified

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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