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
Exploiting Scale-Variant Attention for Segmenting Small Medical ObjectsCode2
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
Omnipose: a high-precision, morphology-independent solution for bacterial cell segmentationCode2
Cell Detection with Star-convex PolygonsCode2
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and ClassificationCode1
CellSeg1: Robust Cell Segmentation with One Training ImageCode1
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image SegmentationCode1
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and ClassificationCode1
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality ImagesCode1
SPPNet: A Single-Point Prompt Network for Nuclei Image SegmentationCode1
Exploring Unsupervised Cell Recognition with Prior Self-activation MapsCode1
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours MapsCode1
Point-supervised Single-cell Segmentation via Collaborative Knowledge SharingCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality MicroscopyCode1
Uncertainty-Aware Contour Proposal Networks for Cell Segmentation in Multi-Modality High-Resolution Microscopy ImagesCode1
ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?Code1
TSFD-Net: Tissue specific feature distillation network for nuclei segmentation and classificationCode1
Search for temporal cell segmentation robustness in phase-contrast microscopy videosCode1
Training a deep learning model for single-cell segmentation without manual annotationCode1
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
PolarMask++: Enhanced Polar Representation for Single-Shot Instance Segmentation and BeyondCode1
Robust 3D Cell Segmentation: Extending the View of CellposeCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced DatasetCode1
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
Local Label Point Correction for Edge Detection of Overlapping Cervical CellsCode1
Accurate and versatile 3D segmentation of plant tissues at cellular resolutionCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Few-Shot Microscopy Image Cell SegmentationCode1
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with ConsistencyCode1
Fully Unsupervised Diversity Denoising with Convolutional Variational AutoencodersCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local ConstraintsCode1
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape FeaturesCode1
Weakly Supervised Cell Instance Segmentation by Propagating from Detection ResponseCode1
PixCell: A generative foundation model for digital histopathology images—0
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks—0
Unsupervised cell segmentation by fast Gaussian ProcessesCode0
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant—0
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization—0
Prompting Vision-Language Model for Nuclei Instance Segmentation and ClassificationCode0
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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