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 51–75 of 178 papers

TitleStatusHype
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain—0
A Foundation Model for Cell Segmentation—0
Defining the boundaries: challenges and advances in identifying cells in microscopy images—0
DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking—0
Multi-stream Cell Segmentation with Low-level Cues for Multi-modality ImagesCode1
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation—0
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning—0
Semi-supervised Instance Segmentation with a Learned Shape Prior—0
SPPNet: A Single-Point Prompt Network for Nuclei Image SegmentationCode1
Exploring Unsupervised Cell Recognition with Prior Self-activation MapsCode1
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions—0
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours MapsCode1
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathologyCode0
CellViT: Vision Transformers for Precise Cell Segmentation and ClassificationCode2
Scribble-supervised Cell Segmentation Using Multiscale Contrastive RegularizationCode0
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered LearningCode0
Towards Early Prediction of Human iPSC Reprogramming SuccessCode0
Impact of Image Compression on In Vitro Cell Migration Analysis—0
PhagoStat a scalable and interpretable end to end framework for efficient quantification of cell phagocytosis in neurodegenerative disease studiesCode0
Point-supervised Single-cell Segmentation via Collaborative Knowledge SharingCode1
An Instance Segmentation Dataset of Yeast Cells in MicrostructuresCode1
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation—0
SpaceTx: A Roadmap for Benchmarking Spatial Transcriptomics Exploration of the Brain—0
Learning with minimal effort: leveraging in silico labeling for cell and nucleus 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