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 76100 of 178 papers

TitleStatusHype
An expert-driven data generation pipeline for histological imagesCode0
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imagingCode0
Scribble-supervised Cell Segmentation Using Multiscale Contrastive RegularizationCode0
Segmentation-free integration of nuclei morphology and spatial transcriptomics for retinal imagesCode0
Cellpose+, a morphological analysis tool for feature extraction of stained cell imagesCode0
EfficientCellSeg: Efficient Volumetric Cell Segmentation Using Context Aware PseudocoloringCode0
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological SamplesCode0
EmbedTrack -- Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering BandwidthsCode0
Single cell resolution 3D imaging and segmentation within intact live tissuesCode0
Cell Segmentation and Tracking using CNN-Based Distance Predictions and a Graph-Based Matching StrategyCode0
Cell Segmentation by Combining Marker-Controlled Watershed and Deep LearningCode0
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation using Deformable Shape ModelsCode0
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow FieldsCode0
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathologyCode0
Towards Early Prediction of Human iPSC Reprogramming SuccessCode0
Analysis of the performance of U-Net neural networks for the segmentation of living cellsCode0
SpaceTx: A Roadmap for Benchmarking Spatial Transcriptomics Exploration of the Brain0
PixCell: A generative foundation model for digital histopathology images0
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation0
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation0
Adversarial Domain Adaptation for Cell Segmentation0
Adversarial Stain Transfer to Study the Effect of Color Variation on Cell Instance Segmentation0
A Foundation Model for Cell Segmentation0
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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