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 2650 of 178 papers

TitleStatusHype
Attention-Based Transformers for Instance Segmentation of Cells in MicrostructuresCode1
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours MapsCode1
ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?Code1
LIVECell—A large-scale dataset for label-free live cell segmentationCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and trackingCode1
Accurate and versatile 3D segmentation of plant tissues at cellular resolutionCode1
Local Label Point Correction for Edge Detection of Overlapping Cervical CellsCode1
Exploring Unsupervised Cell Recognition with Prior Self-activation MapsCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Contour Proposal Networks for Biomedical Instance SegmentationCode1
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local ConstraintsCode1
Few-Shot Microscopy Image Cell SegmentationCode1
CellSeg1: Robust Cell Segmentation with One Training ImageCode1
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and ClassificationCode1
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape FeaturesCode1
Point-supervised Single-cell Segmentation via Collaborative Knowledge SharingCode1
Automated Characterization of Catalytically Active Inclusion Body Production in Biotechnological Screening Systems0
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation0
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging0
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation0
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning0
QANet -- Quality Assurance Network for Image Segmentation0
Show:102550
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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