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 1776–1800 of 2089 papers

Title	Date	Tasks	Status
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors	Feb 4, 2021	Image GenerationImage Segmentation	—Unverified
Network-Agnostic Knowledge Transfer for Medical Image Segmentation	Jan 23, 2021	Image SegmentationKnowledge Distillation	—Unverified
A survey on shape-constraint deep learning for medical image segmentation	Jan 19, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation	Jan 18, 2021	Domain AdaptationImage Segmentation	—Unverified
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation	Jan 7, 2021	Active LearningBIG-bench Machine Learning	—Unverified
Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation	Jan 5, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution	Jan 1, 2021	Boundary DetectionImage Segmentation	—Unverified
Network-Agnostic Knowledge Transfer from Latent Dataset for Medical Image Segmentation	Jan 1, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Indirect Supervision to Mitigate Perturbations	Jan 1, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Automatic Polyp Segmentation using U-Net-ResNet50	Dec 30, 2020	Medical Image SegmentationSegmentation	—Unverified
Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning	Dec 29, 2020	Generative Adversarial NetworkImage Segmentation	—Unverified
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation	Dec 23, 2020	Domain AdaptationImage Segmentation	—Unverified
MA-Unet: An improved version of Unet based on multi-scale and attention mechanism for medical image segmentation	Dec 20, 2020	DecoderImage Segmentation	—Unverified
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation	Dec 18, 2020	Image SegmentationMedical Image Segmentation	—Unverified
D-LEMA: Deep Learning Ensembles from Multiple Annotations -- Application to Skin Lesion Segmentation	Dec 14, 2020	Image SegmentationLesion Segmentation	—Unverified
Pyramid-Focus-Augmentation: Medical Image Segmentation with Step-Wise Focus	Dec 14, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding	Dec 10, 2020	ClusteringImage Segmentation	—Unverified
Offset Curves Loss for Imbalanced Problem in Medical Segmentation	Dec 4, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data	Nov 28, 2020	Data AugmentationImage Segmentation	—Unverified
Modelling brain lesion volume in patches with CNN-based Poisson Regression	Nov 26, 2020	Image SegmentationMedical Image Segmentation	—Unverified
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation	Nov 25, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation	Nov 19, 2020	Few-Shot LearningImage Segmentation	—Unverified
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey	Nov 16, 2020	ArticlesImage Segmentation	—Unverified
w-Net: Dual Supervised Medical Image Segmentation Model with Multi-Dimensional Attention and Cascade Multi-Scale Convolution	Nov 15, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Efficient Medical Image Segmentation with Intermediate Supervision Mechanism	Nov 15, 2020	DecoderImage 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