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 1851–1875 of 2089 papers

Title	Date	Tasks	Status	Hype
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images	Feb 15, 2020	Instance SegmentationMedical Image Segmentation	CodeCode Available	1
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation	Feb 6, 2020	Domain AdaptationImage Segmentation	CodeCode Available	1
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy	Jan 31, 2020	Data AugmentationImage Augmentation	—Unverified	0
Deep Learning in Multi-organ Segmentation	Jan 28, 2020	Deep LearningImage Segmentation	—Unverified	0
Medical Image Segmentation via Unsupervised Convolutional Neural Network	Jan 28, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Uncertainty-Aware Training of Neural Networks for Selective Medical Image Segmentation	Jan 25, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
The Performance of Deep U-Net Pre-Clinical Organ-wise Segmentation in the Presence of Low Counting Statistics.	Jan 25, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Siamese Content Loss Networks for Highly Imbalanced Medical Image Segmentation	Jan 25, 2020	DecoderImage Segmentation	—Unverified	0
Mutual information deep regularization for semi-supervised segmentation	Jan 25, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns	Jan 25, 2020	Domain AdaptationImage Segmentation	—Unverified	0
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation	Jan 24, 2020	Image SegmentationLesion Segmentation	CodeCode Available	1
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms	Jan 23, 2020	Image SegmentationMedical Image Segmentation	—Unverified	0
SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation	Jan 21, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1
A context based deep learning approach for unbalanced medical image segmentation	Jan 8, 2020	Deep LearningImage Segmentation	CodeCode Available	1
Self-Learning AI Framework for Skin Lesion Image Segmentation and Classification	Jan 4, 2020	ClassificationClustering	—Unverified	0
Transfer Learning for Brain Tumor Segmentation	Dec 28, 2019	Brain Tumor SegmentationImage Segmentation	—Unverified	0
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation	Dec 27, 2019	Data AugmentationDecoder	—Unverified	0
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation	Dec 20, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation	Dec 19, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation	Dec 11, 2019	Computed Tomography (CT)Decoder	CodeCode Available	1
OASIS: One-pass aligned Atlas Set for Image Segmentation	Dec 5, 2019	Image RegistrationImage Segmentation	—Unverified	0
FocusNet++: Attentive Aggregated Transformations for Efficient and Accurate Medical Image Segmentation	Dec 4, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation	Nov 29, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Iteratively-Refined Interactive 3D Medical Image Segmentation with Multi-Agent Reinforcement Learning	Nov 23, 2019	Image SegmentationMedical Image Segmentation	—Unverified	0
Segmenting Medical MRI via Recurrent Decoding Cell	Nov 21, 2019	DecoderImage 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