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 5175 of 178 papers

TitleStatusHype
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging0
COIN: Confidence Score-Guided Distillation for Annotation-Free Cell SegmentationCode0
CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell SegmentationCode0
Segmentation-free integration of nuclei morphology and spatial transcriptomics for retinal imagesCode0
Geometric Framework for Cell Oversegmentation0
Single cell resolution 3D imaging and segmentation within intact live tissuesCode0
Progressive Vision-Language Prompt for Multi-Organ Multi-Class Cell Semantic Segmentation with Single Branch0
Cascaded Diffusion Models for 2D and 3D Microscopy Image Synthesis to Enhance Cell SegmentationCode0
Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging0
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 Analysis0
MorphoSeg: An Uncertainty-Aware Deep Learning Method for Biomedical Segmentation of Complex Cellular MorphologiesCode0
Open Source Infrastructure for Automatic Cell Segmentation0
Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging towards digital pathology0
Artificial Immunofluorescence in a Flash: Rapid Synthetic Imaging from Brightfield Through Residual Diffusion0
Enhancing Cell Instance Segmentation in Scanning Electron Microscopy Images via a Deep Contour Closing Operator0
Medical Image Segmentation Using Directional Window AttentionCode0
Deep asymmetric mixture model for unsupervised cell segmentation0
An expert-driven data generation pipeline for histological imagesCode0
Prior-guided Diffusion Model for Cell Segmentation in Quantitative Phase Imaging0
Active Learning Enabled Low-cost Cell Image Segmentation Using Bounding Box Annotation0
Practical Guidelines for Cell Segmentation Models Under Optical Aberrations in Microscopy0
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset0
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow FieldsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Dual U-Net (Neighbor distances)SEG (~Mean IoU)0.9Unverified
2DecLSTMSEG (~Mean IoU)0.84Unverified
3EncLSTMSEG (~Mean IoU)0.81Unverified
#ModelMetricClaimedVerifiedStatus
1Cascade Mask RCNN-ResNest-200mask AP47.9Unverified
2CenterMask-VoVNet2-FPNmask AP47.8Unverified
3Point2Maskmask AP43.53Unverified
#ModelMetricClaimedVerifiedStatus
1EncLSTMSEG (~Mean IoU)0.79Unverified
2DecLSTMSEG (~Mean IoU)0.51Unverified
#ModelMetricClaimedVerifiedStatus
1DeepCeNSmask AP52.56Unverified
2EVICAN-MRCNNmask AP32.2Unverified
#ModelMetricClaimedVerifiedStatus
1DecLSTMSEG (~Mean IoU)0.85Unverified
2EncLSTMSEG (~Mean IoU)0.85Unverified
#ModelMetricClaimedVerifiedStatus
1EncLSTMSEG (~Mean IoU)0.81Unverified
2DecLSTMSEG (~Mean IoU)0.8Unverified
#ModelMetricClaimedVerifiedStatus
1PromptNuAverage Dice0.86Unverified
#ModelMetricClaimedVerifiedStatus
1Dual U-Net (Neighbor distances)SEG (~Mean IoU)0.62Unverified
#ModelMetricClaimedVerifiedStatus
1PromptNuAverage Dice0.84Unverified
#ModelMetricClaimedVerifiedStatus
1PromptNuAverage Dice0.86Unverified
#ModelMetricClaimedVerifiedStatus
1EncLSTMSEG (~Mean IoU)0.84Unverified