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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 178 papers

TitleStatusHype
PixCell: A generative foundation model for digital histopathology images—0
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks—0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation—0
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation—0
Adversarial Domain Adaptation for Cell Segmentation—0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation—0
A Foundation Model for Cell Segmentation—0
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis—0
Algorithms for screening of Cervical Cancer: A chronological review—0
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE—0
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation—0
An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images—0
An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders—0
A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network—0
Artificial Immunofluorescence in a Flash: Rapid Synthetic Imaging from Brightfield Through Residual Diffusion—0
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning—0
Automated Characterization of Catalytically Active Inclusion Body Production in Biotechnological Screening Systems—0
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy—0
CellCycleGAN: Spatiotemporal Microscopy Image Synthesis of Cell Populations using Statistical Shape Models and Conditional GANs—0
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations—0
Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line—0
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection—0
Cell segmentation with random ferns and graph-cuts—0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images—0
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images—0
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation—0
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Deep asymmetric mixture model for unsupervised cell segmentation—0
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images—0
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques—0
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset—0
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images—0
Defining the boundaries: challenges and advances in identifying cells in microscopy images—0
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain—0
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging—0
DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking—0
Double U-Net for Super-Resolution and Segmentation of Live Cell Images—0
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation—0
Efficient Pose and Cell Segmentation using Column Generation—0
End-to-end learning of pharmacological assays from high-resolution microscopy images—0
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator—0
EVICAN-a balanced dataset for algorithm development in cell and nucleus segmentation—0
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells—0
Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging—0
Learning Melanocytic Cell Masks from Adjacent Stained Tissue—0
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection—0
Learn to segment single cells with deep distance estimator and deep cell detector—0
Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging towards digital pathology—0
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks—0
Morphological Profiling for Drug Discovery in the Era of Deep Learning—0
Show:102550
← PrevPage 2 of 4Next →
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