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 1–50 of 178 papers

TitleStatusHype
InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentationCode3
Deep Learning in Single-Cell AnalysisCode3
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation ModelsCode2
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
Cell Detection with Star-convex PolygonsCode2
Exploiting Scale-Variant Attention for Segmenting Small Medical ObjectsCode2
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
Omnipose: a high-precision, morphology-independent solution for bacterial cell segmentationCode2
Weakly Supervised Cell Instance Segmentation by Propagating from Detection ResponseCode1
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy ImagesCode1
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local ConstraintsCode1
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours MapsCode1
ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?Code1
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape FeaturesCode1
Search for temporal cell segmentation robustness in phase-contrast microscopy videosCode1
Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced DatasetCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Robust 3D Cell Segmentation: Extending the View of CellposeCode1
Exploring Unsupervised Cell Recognition with Prior Self-activation MapsCode1
SPPNet: A Single-Point Prompt Network for Nuclei Image SegmentationCode1
Training a deep learning model for single-cell segmentation without manual annotationCode1
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image SegmentationCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and ClassificationCode1
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality ImagesCode1
Point-supervised Single-cell Segmentation via Collaborative Knowledge SharingCode1
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality MicroscopyCode1
Accurate and versatile 3D segmentation of plant tissues at cellular resolutionCode1
Local Label Point Correction for Edge Detection of Overlapping Cervical CellsCode1
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Few-Shot Microscopy Image Cell SegmentationCode1
Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and ClassificationCode1
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and BeyondCode1
CellSeg1: Robust Cell Segmentation with One Training ImageCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classificationCode1
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with ConsistencyCode1
Analysis of the performance of U-Net neural networks for the segmentation of living cellsCode0
aura-net : robust segmentation of phase-contrast microscopy images with few annotationsCode0
IRNet: Instance Relation Network for Overlapping Cervical Cell SegmentationCode0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
Knowing What to Label for Few Shot Microscopy Image Cell SegmentationCode0
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological ImagesCode0
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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