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 1–50 of 178 papers

TitleStatusHype
PixCell: A generative foundation model for digital histopathology images—0
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks—0
Unsupervised cell segmentation by fast Gaussian ProcessesCode0
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant—0
Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization—0
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and ClassificationCode1
Prompting Vision-Language Model for Nuclei Instance Segmentation and ClassificationCode0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell SegmentationCode0
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell SegmentationCode0
Segmentation-free integration of nuclei morphology and spatial transcriptomics for retinal imagesCode0
Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and ClassificationCode1
Geometric Framework for Cell Oversegmentation—0
Single cell resolution 3D imaging and segmentation within intact live tissuesCode0
CellViT++: Energy-Efficient and Adaptive Cell Segmentation and Classification Using Foundation ModelsCode2
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch—0
CellSeg1: Robust Cell Segmentation with One Training ImageCode1
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell SegmentationCode0
Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging—0
Cellpose+, a morphological analysis tool for feature extraction of stained cell imagesCode0
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy ImagesCode0
Multimodal Alignment of Histopathological Images Using Cell Segmentation and Point Set Matching for Integrative Cancer Analysis—0
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular MorphologiesCode0
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image SegmentationCode1
Open Source Infrastructure for Automatic Cell Segmentation—0
InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentationCode3
NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and ClassificationCode1
Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging towards digital pathology—0
LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution KernelsCode1
Artificial Immunofluorescence in a Flash: Rapid Synthetic Imaging from Brightfield Through Residual Diffusion—0
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator—0
Exploiting Scale-Variant Attention for Segmenting Small Medical ObjectsCode2
Medical Image Segmentation Using Directional Window AttentionCode0
Deep asymmetric mixture model for unsupervised cell segmentation—0
An expert-driven data generation pipeline for histological imagesCode0
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging—0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation—0
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy—0
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset—0
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow FieldsCode0
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining—0
Pushing the limits of cell segmentation models for imaging mass cytometryCode0
FDNet: Frequency Domain Denoising Network For Cell Segmentation in Astrocytes Derived From Induced Pluripotent Stem Cells—0
Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological imagesCode0
A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and TrackingCode0
U-Mamba: Enhancing Long-range Dependency for Biomedical Image SegmentationCode2
Morphological Profiling for Drug Discovery in the Era of Deep Learning—0
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations—0
Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological ImagesCode0
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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