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

Showing 76–100 of 178 papers

TitleStatusHype
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
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
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
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
Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle RepresentationCode0
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions—0
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathologyCode0
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
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation—0
SpaceTx: A Roadmap for Benchmarking Spatial Transcriptomics Exploration of the Brain—0
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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