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 131–140 of 178 papers

Title	Date	Tasks	Status
Spherical Harmonics for Shape-Constrained 3D Cell Segmentation	Oct 23, 2020	Cell SegmentationSegmentation	—Unverified
CellCycleGAN: Spatiotemporal Microscopy Image Synthesis of Cell Populations using Statistical Shape Models and Conditional GANs	Oct 22, 2020	BenchmarkingCell Segmentation	—Unverified
Quantifying the effect of image compression on supervised learning applications in optical microscopy	Sep 26, 2020	Cell SegmentationData Compression	—Unverified
Learning to segment clustered amoeboid cells from brightfield microscopy via multi-task learning with adaptive weight selection	May 19, 2020	Boundary DetectionCell Segmentation	—Unverified
Cell Segmentation by Combining Marker-Controlled Watershed and Deep Learning	Apr 3, 2020	Cell DetectionCell Segmentation	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
EVICAN-a balanced dataset for algorithm development in cell and nucleus segmentation	Mar 27, 2020	Cell SegmentationDeep Learning	—Unverified
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological Samples	Jan 30, 2020	Cell SegmentationSegmentation	CodeCode Available
Adversarial Domain Adaptation for Cell Segmentation	Jan 29, 2020	Cell SegmentationDomain Adaptation	—Unverified
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image	Jan 28, 2020	Cell SegmentationDecoder	—Unverified

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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