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 101–125 of 178 papers

TitleStatusHype
Learning with minimal effort: leveraging in silico labeling for cell and nucleus segmentationCode0
Double U-Net for Super-Resolution and Segmentation of Live Cell Images—0
Knowing What to Label for Few Shot Microscopy Image Cell SegmentationCode0
Learning Melanocytic Cell Masks from Adjacent Stained Tissue—0
Scale Equivariant U-Net—0
Analysis of the performance of U-Net neural networks for the segmentation of living cellsCode0
Automated Characterization of Catalytically Active Inclusion Body Production in Biotechnological Screening Systems—0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation—0
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation—0
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation—0
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation using Deformable Shape ModelsCode0
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis—0
EmbedTrack -- Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering BandwidthsCode0
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware PseudocoloringCode0
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification—0
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging—0
Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line—0
Yeast cell segmentation in microstructured environments with deep learningCode0
Improved cell segmentation using deep learning in label-free optical microscopy images—0
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
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
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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