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 131–140 of 178 papers

Title	Date	Tasks	Status
Prompting Vision-Language Model for Nuclei Instance Segmentation and Classification	Mar 27, 2025	Cell SegmentationContrastive Learning	CodeCode Available
Pushing the limits of cell segmentation models for imaging mass cytometry	Feb 6, 2024	Cell SegmentationSegmentation	CodeCode Available
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net	Jul 20, 2021	Cell SegmentationImage Segmentation	CodeCode Available
Attention-Guided Residual U-Net with SE Connection and ASPP for Watershed-Based Cell Segmentation in Microscopy Images	Oct 18, 2024	Cell SegmentationElectron Microscopy Image Segmentation	CodeCode Available
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins	Nov 20, 2020	Cell SegmentationDecision Making Under Uncertainty	CodeCode Available
Cell Segmentation and Tracking using CNN-Based Distance Predictions and a Graph-Based Matching Strategy	Apr 3, 2020	Cell SegmentationCell Tracking	CodeCode Available
Analysis of the performance of U-Net neural networks for the segmentation of living cells	Oct 4, 2022	Cell SegmentationCell Tracking	CodeCode Available
Cellpose+, a morphological analysis tool for feature extraction of stained cell images	Oct 24, 2024	Cell SegmentationImage Segmentation	CodeCode Available
Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation using Deformable Shape Models	Jun 23, 2022	Cell SegmentationComputational Efficiency	CodeCode Available
Applying Faster R-CNN for Object Detection on Malaria Images	Apr 25, 2018	Cell SegmentationObject	CodeCode Available

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All datasets Fluo-N2DL-HeLa LIVECell DIC-C2DH-HeLa EVICAN Fluo-N2DH-GOWT1 Fluo-N2DH-SIM+CoNSeP Fluo-C3DL-MDA231 MoNuSeg PanNuke PhC-C2DH-U373

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Dual U-Net (Neighbor distances)	SEG (~Mean IoU)	0.9	—	Unverified
2	DecLSTM	SEG (~Mean IoU)	0.84	—	Unverified
3	EncLSTM	SEG (~Mean IoU)	0.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Cascade Mask RCNN-ResNest-200	mask AP	47.9	—	Unverified
2	CenterMask-VoVNet2-FPN	mask AP	47.8	—	Unverified
3	Point2Mask	mask AP	43.53	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EncLSTM	SEG (~Mean IoU)	0.79	—	Unverified
2	DecLSTM	SEG (~Mean IoU)	0.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeepCeNS	mask AP	52.56	—	Unverified
2	EVICAN-MRCNN	mask AP	32.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DecLSTM	SEG (~Mean IoU)	0.85	—	Unverified
2	EncLSTM	SEG (~Mean IoU)	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EncLSTM	SEG (~Mean IoU)	0.81	—	Unverified
2	DecLSTM	SEG (~Mean IoU)	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PromptNu	Average Dice	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Dual U-Net (Neighbor distances)	SEG (~Mean IoU)	0.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PromptNu	Average Dice	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PromptNu	Average Dice	0.86	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EncLSTM	SEG (~Mean IoU)	0.84	—	Unverified