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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 121–130 of 178 papers

Title	Date	Tasks	Status
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling	Jul 20, 2021	Cell SegmentationDomain Adaptation	—Unverified
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images	Jul 18, 2021	Cell Segmentationobject-detection	—Unverified
A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation	May 21, 2021	Cell Segmentation	—Unverified
An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders	Mar 18, 2021	Cell SegmentationSegmentation	—Unverified
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques	Feb 24, 2021	Cell SegmentationClassification	—Unverified
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images	Feb 20, 2021	Cell DetectionCell Segmentation	CodeCode Available
aura-net : robust segmentation of phase-contrast microscopy images with few annotations	Feb 2, 2021	Cell SegmentationSegmentation	CodeCode Available
Accurate Cell Segmentation in Digital Pathology Images via Attention Enforced Networks	Dec 14, 2020	Cell SegmentationColor Normalization	—Unverified
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins	Nov 20, 2020	Cell SegmentationDecision Making Under Uncertainty	CodeCode Available
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning	Nov 16, 2020	Cell SegmentationDeep Learning	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