SOTAVerified

Cell Segmentation

Cell Segmentation is a task of splitting a microscopic image domain into segments, which represent individual instances of cells. It is a fundamental step in many biomedical studies, and it is regarded as a cornerstone of image-based cellular research. Cellular morphology is an indicator of a physiological state of the cell, and a well-segmented image can capture biologically relevant morphological information.

Source: Cell Segmentation by Combining Marker-controlled Watershed and Deep Learning

Papers

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Showing 101–150 of 178 papers

TitleStatusHype
Improved cell segmentation using deep learning in label-free optical microscopy images—0
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-NetCode0
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling—0
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images—0
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation—0
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and BeyondCode1
Robust 3D Cell Segmentation: Extending the View of CellposeCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders—0
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques—0
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy ImagesCode0
aura-net : robust segmentation of phase-contrast microscopy images with few annotationsCode0
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks—0
Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced DatasetCode1
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized ProteinsCode0
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
Multiclass Yeast Segmentation in Microstructured Environments with Deep LearningCode0
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation—0
CellCycleGAN: Spatiotemporal Microscopy Image Synthesis of Cell Populations using Statistical Shape Models and Conditional GANs—0
Local Label Point Correction for Edge Detection of Overlapping Cervical CellsCode1
Quantifying the effect of image compression on supervised learning applications in optical microscopy—0
Accurate and versatile 3D segmentation of plant tissues at cellular resolutionCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Few-Shot Microscopy Image Cell SegmentationCode1
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with ConsistencyCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection—0
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local ConstraintsCode1
Cell Segmentation by Combining Marker-Controlled Watershed and Deep LearningCode0
Cell Segmentation and Tracking using CNN-Based Distance Predictions and a Graph-Based Matching StrategyCode0
EVICAN-a balanced dataset for algorithm development in cell and nucleus segmentation—0
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological SamplesCode0
Adversarial Domain Adaptation for Cell Segmentation—0
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image—0
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape FeaturesCode1
A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network—0
Weakly Supervised Cell Instance Segmentation by Propagating from Detection ResponseCode1
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation—0
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images—0
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imagingCode0
IRNet: Instance Relation Network for Overlapping Cervical Cell SegmentationCode0
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding BoxesCode0
End-to-end learning of pharmacological assays from high-resolution microscopy images—0
Learn to segment single cells with deep distance estimator and deep cell detector—0
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE—0
QANet -- Quality Assurance Network for Image Segmentation—0
An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images—0
CE-Net: Context Encoder Network for 2D Medical Image SegmentationCode0
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All datasetsFluo-N2DL-HeLaLIVECellDIC-C2DH-HeLaEVICANFluo-N2DH-GOWT1Fluo-N2DH-SIM+CoNSePFluo-C3DL-MDA231MoNuSegPanNukePhC-C2DH-U373

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Dual U-Net (Neighbor distances)SEG (~Mean IoU)0.9—Unverified
2DecLSTMSEG (~Mean IoU)0.84—Unverified
3EncLSTMSEG (~Mean IoU)0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Cascade Mask RCNN-ResNest-200mask AP47.9—Unverified
2CenterMask-VoVNet2-FPNmask AP47.8—Unverified
3Point2Maskmask AP43.53—Unverified
#ModelMetricClaimedVerifiedStatus
1EncLSTMSEG (~Mean IoU)0.79—Unverified
2DecLSTMSEG (~Mean IoU)0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1DeepCeNSmask AP52.56—Unverified
2EVICAN-MRCNNmask AP32.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DecLSTMSEG (~Mean IoU)0.85—Unverified
2EncLSTMSEG (~Mean IoU)0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1EncLSTMSEG (~Mean IoU)0.81—Unverified
2DecLSTMSEG (~Mean IoU)0.8—Unverified
#ModelMetricClaimedVerifiedStatus
1PromptNuAverage Dice0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1Dual U-Net (Neighbor distances)SEG (~Mean IoU)0.62—Unverified
#ModelMetricClaimedVerifiedStatus
1PromptNuAverage Dice0.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PromptNuAverage Dice0.86—Unverified
#ModelMetricClaimedVerifiedStatus
1EncLSTMSEG (~Mean IoU)0.84—Unverified