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 126–150 of 178 papers

TitleStatusHype
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
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection—0
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local ConstraintsCode1
Cell Segmentation by Combining Marker-Controlled Watershed and Deep LearningCode0
Cell Segmentation and Tracking using CNN-Based Distance Predictions and a Graph-Based Matching StrategyCode0
EVICAN-a balanced dataset for algorithm development in cell and nucleus segmentation—0
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological SamplesCode0
Adversarial Domain Adaptation for Cell Segmentation—0
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image—0
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape FeaturesCode1
A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network—0
Weakly Supervised Cell Instance Segmentation by Propagating from Detection ResponseCode1
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation—0
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images—0
DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imagingCode0
IRNet: Instance Relation Network for Overlapping Cervical Cell SegmentationCode0
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding BoxesCode0
End-to-end learning of pharmacological assays from high-resolution microscopy images—0
Learn to segment single cells with deep distance estimator and deep cell detector—0
Algorithms used for the Cell Segmentation Benchmark Competition at ISBI 2019 by RWTH-GE—0
QANet -- Quality Assurance Network for Image Segmentation—0
An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images—0
CE-Net: Context Encoder Network for 2D Medical Image SegmentationCode0
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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