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 5175 of 178 papers

TitleStatusHype
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection0
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation0
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images0
Artificial Immunofluorescence in a Flash: Rapid Synthetic Imaging from Brightfield Through Residual Diffusion0
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images0
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation0
Deep asymmetric mixture model for unsupervised cell segmentation0
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images0
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation0
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset0
Impact of Image Compression on In Vitro Cell Migration Analysis0
Algorithms for screening of Cervical Cancer: A chronological review0
Improved cell segmentation using deep learning in label-free optical microscopy images0
Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging0
Learn to segment single cells with deep distance estimator and deep cell detector0
A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network0
Cell segmentation with random ferns and graph-cuts0
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection0
A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis0
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization0
Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line0
A Foundation Model for Cell Segmentation0
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks0
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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