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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 178 papers

TitleStatusHype
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
Nuclei Detection Using Mixture Density Networks—0
Open Source Infrastructure for Automatic Cell Segmentation—0
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis—0
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation—0
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging—0
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch—0
Quantifying the effect of image compression on supervised learning applications in optical microscopy—0
QANet -- Quality Assurance Network for Image Segmentation—0
Reinforced Correlation Between Vision and Language for Precise Medical AI Assistant—0
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image—0
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks—0
Scale Equivariant U-Net—0
SEGMENT3D: A Web-based Application for Collaborative Segmentation of 3D images used in the Shoot Apical Meristem—0
Segmentation of Clustered Nuclei With Shape Markers and Marking Function—0
Segmentation of Microscopy Data for finding Nuclei in Divergent Images—0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification—0
Semi-supervised Instance Segmentation with a Learned Shape Prior—0
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization—0
SpaceTx: A Roadmap for Benchmarking Spatial Transcriptomics Exploration of the Brain—0
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation—0
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining—0
The Candidate Multi-Cut for Cell Segmentation—0
Show:102550
← PrevPage 5 of 8Next →
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