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 151–160 of 178 papers

Title	Date	Tasks	Status
Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement	Feb 13, 2019	Cell SegmentationSegmentation	CodeCode Available
Robust neural circuit reconstruction from serial electron microscopy with convolutional recurrent networks	Nov 28, 2018	Cell SegmentationContour Detection	—Unverified
Neural Stain Normalization and Unsupervised Classification of Cell Nuclei in Histopathological Breast Cancer Images	Nov 9, 2018	Cell SegmentationClustering	—Unverified
Algorithms for screening of Cervical Cancer: A chronological review	Nov 2, 2018	Cell SegmentationClustering	—Unverified
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images	Oct 16, 2018	Cell SegmentationInstance Segmentation	—Unverified
Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario	Oct 14, 2018	Cell SegmentationFew-Shot Learning	CodeCode Available
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation	Oct 9, 2018	Cell SegmentationEnsemble Learning	—Unverified
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis	Sep 28, 2018	Cell SegmentationNuclear Segmentation	—Unverified
Nuclei Detection Using Mixture Density Networks	Aug 22, 2018	Cell SegmentationImage-Variation	—Unverified
Segmentation of Microscopy Data for finding Nuclei in Divergent Images	Aug 19, 2018	Cell SegmentationImage Segmentation	—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