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	Hype
Cell Segmentation by Combining Marker-Controlled Watershed and Deep Learning	Apr 3, 2020	Cell DetectionCell Segmentation	CodeCode Available	0
Cell Segmentation and Tracking using CNN-Based Distance Predictions and a Graph-Based Matching Strategy	Apr 3, 2020	Cell SegmentationCell Tracking	CodeCode Available	0
EVICAN-a balanced dataset for algorithm development in cell and nucleus segmentation	Mar 27, 2020	Cell SegmentationDeep Learning	—Unverified	0
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	0
Adversarial Domain Adaptation for Cell Segmentation	Jan 29, 2020	Cell SegmentationDomain Adaptation	—Unverified	0
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image	Jan 28, 2020	Cell SegmentationDecoder	—Unverified	0
Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features	Jan 15, 2020	Cell SegmentationCell Tracking	CodeCode Available	1
A Novel Automation-Assisted Cervical Cancer Reading Method Based on Convolutional Neural Network	Dec 14, 2019	Cell Segmentationobject-detection	—Unverified	0
Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response	Nov 29, 2019	Cell SegmentationCultural Vocal Bursts Intensity Prediction	CodeCode Available	1
Weakly Supervised Multi-Task Learning for Cell Detection and Segmentation	Oct 27, 2019	Cell DetectionCell Segmentation	—Unverified	0

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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