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 1701–1725 of 2089 papers

Title	Date	Tasks	Status	Hype
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation	Jan 18, 2021	Domain AdaptationImage Segmentation	—Unverified	0
HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS	Jan 18, 2021	DecoderGPU	CodeCode Available	1
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation	Jan 7, 2021	Active LearningBIG-bench Machine Learning	—Unverified	0
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation	Jan 5, 2021	Image SegmentationMedical Image Segmentation	—Unverified	0
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution	Jan 1, 2021	Boundary DetectionImage Segmentation	—Unverified	0
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?	Jan 1, 2021	AllImage Segmentation	CodeCode Available	1
Network-Agnostic Knowledge Transfer from Latent Dataset for Medical Image Segmentation	Jan 1, 2021	Image SegmentationMedical Image Segmentation	—Unverified	0
Indirect Supervision to Mitigate Perturbations	Jan 1, 2021	Image SegmentationMedical Image Segmentation	—Unverified	0
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers	Dec 31, 2020	DecoderMedical Image Segmentation	CodeCode Available	2
Automatic Polyp Segmentation using U-Net-ResNet50	Dec 30, 2020	Medical Image SegmentationSegmentation	—Unverified	0
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation	Dec 30, 2020	Colorectal Polyps CharacterizationDecision Making	CodeCode Available	1
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning	Dec 29, 2020	Generative Adversarial NetworkImage Segmentation	—Unverified	0
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation	Dec 23, 2020	Domain AdaptationImage Segmentation	—Unverified	0
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation	Dec 20, 2020	DecoderImage Segmentation	—Unverified	0
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation	Dec 18, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation	Dec 14, 2020	Image SegmentationLesion Segmentation	—Unverified	0
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus	Dec 14, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding	Dec 10, 2020	ClusteringImage Segmentation	—Unverified	0
Annotation-efficient deep learning for automatic medical image segmentation	Dec 9, 2020	Deep LearningImage Segmentation	CodeCode Available	1
Offset Curves Loss for Imbalanced Problem in Medical Segmentation	Dec 4, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Disentangling Human Error from Ground Truth in Segmentation of Medical Images	Dec 1, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data	Nov 28, 2020	Data AugmentationImage Segmentation	—Unverified	0
Inter-slice Context Residual Learning for 3D Medical Image Segmentation	Nov 28, 2020	Brain Tumor SegmentationDecoder	CodeCode Available	1
Modelling brain lesion volume in patches with CNN-based Poisson Regression	Nov 26, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation	Nov 25, 2020	Image SegmentationMedical Image Segmentation	—Unverified	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