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

Showing 76100 of 178 papers

TitleStatusHype
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality MicroscopyCode1
Double U-Net for Super-Resolution and Segmentation of Live Cell Images0
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy ImagesCode1
Knowing What to Label for Few Shot Microscopy Image Cell SegmentationCode0
Learning Melanocytic Cell Masks from Adjacent Stained Tissue0
Deep Learning in Single-Cell AnalysisCode3
Scale Equivariant U-Net0
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 Systems0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation0
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation0
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation0
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation using Deformable Shape ModelsCode0
ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?Code1
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis0
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 Classification0
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging0
Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line0
TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classificationCode1
Yeast cell segmentation in microstructured environments with deep learningCode0
Search for temporal cell segmentation robustness in phase-contrast microscopy videosCode1
Training a deep learning model for single-cell segmentation without manual annotationCode1
Omnipose: a high-precision, morphology-independent solution for bacterial cell segmentationCode2
Show:102550
← PrevPage 4 of 8Next →

Benchmark Results

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