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 51–100 of 178 papers

TitleStatusHype
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain—0
A Foundation Model for Cell Segmentation—0
Defining the boundaries: challenges and advances in identifying cells in microscopy images—0
DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking—0
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality ImagesCode1
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning—0
Semi-supervised Instance Segmentation with a Learned Shape Prior—0
SPPNet: A Single-Point Prompt Network for Nuclei Image SegmentationCode1
Exploring Unsupervised Cell Recognition with Prior Self-activation MapsCode1
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions—0
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours MapsCode1
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathologyCode0
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
Scribble-supervised Cell Segmentation Using Multiscale Contrastive RegularizationCode0
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered LearningCode0
Towards Early Prediction of Human iPSC Reprogramming SuccessCode0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studiesCode0
Point-supervised Single-cell Segmentation via Collaborative Knowledge SharingCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation—0
SpaceTx: A Roadmap for Benchmarking Spatial Transcriptomics Exploration of the Brain—0
Learning with minimal effort: leveraging in silico labeling for cell and nucleus segmentationCode0
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality MicroscopyCode1
Double U-Net for Super-Resolution and Segmentation of Live Cell Images—0
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 Tissue—0
Deep Learning in Single-Cell AnalysisCode3
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
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 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
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
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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