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
Defining the boundaries: challenges and advances in identifying cells in microscopy images—0
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain—0
Differentiable Microscopy for Content and Task Aware Compressive Fluorescence Imaging—0
DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking—0
Double U-Net for Super-Resolution and Segmentation of Live Cell Images—0
Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation—0
Efficient Pose and Cell Segmentation using Column Generation—0
End-to-end learning of pharmacological assays from high-resolution microscopy images—0
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator—0
EVICAN-a balanced dataset for algorithm development in cell and nucleus segmentation—0
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells—0
Geometric Framework for Cell Oversegmentation—0
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization—0
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net—0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
Improved cell segmentation using deep learning in label-free optical microscopy images—0
Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging—0
Learning Melanocytic Cell Masks from Adjacent Stained Tissue—0
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection—0
Learn to segment single cells with deep distance estimator and deep cell detector—0
Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging towards digital pathology—0
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks—0
Morphological Profiling for Drug Discovery in the Era of Deep Learning—0
Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis—0
Neural Stain Normalization and Unsupervised Classification of Cell Nuclei in Histopathological Breast Cancer Images—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