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 151–175 of 178 papers

TitleStatusHype
Accurate 3D Cell Segmentation using Deep Feature and CRF RefinementCode0
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks—0
Neural Stain Normalization and Unsupervised Classification of Cell Nuclei in Histopathological Breast Cancer Images—0
Algorithms for screening of Cervical Cancer: A chronological review—0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images—0
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data ScenarioCode0
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation—0
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis—0
Nuclei Detection Using Mixture Density Networks—0
Segmentation of Microscopy Data for finding Nuclei in Divergent Images—0
DeepSDCS: Dissecting cancer proliferation heterogeneity in Ki67 digital whole slide images—0
Cell Detection with Star-convex PolygonsCode2
Microscopy Cell Segmentation via Convolutional LSTM NetworksCode0
Applying Faster R-CNN for Object Detection on Malaria ImagesCode0
Three-Dimensional GPU-Accelerated Active Contours for Automated Localization of Cells in Large Images—0
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem—0
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net—0
Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection—0
Microscopy Cell Segmentation via Adversarial Neural NetworksCode0
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization—0
The Candidate Multi-Cut for Cell Segmentation—0
Reconstructing the Forest of Lineage Trees of Diverse Bacterial Communities Using Bio-inspired Image Analysis—0
Efficient Pose and Cell Segmentation using Column Generation—0
A New Approach for Segmentation and Quantification of Cells or NanoparticlesCode0
Cell segmentation with random ferns and graph-cuts—0
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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