About

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

Benchmarks

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Greatest papers with code

Cell Detection with Star-convex Polygons

9 Jun 2018mpicbg-csbd/stardist

Automatic detection and segmentation of cells and nuclei in microscopy images is important for many biological applications.

CELL SEGMENTATION

CE-Net: Context Encoder Network for 2D Medical Image Segmentation

7 Mar 2019HzFu/MNet_DeepCDR

In this paper, we propose a context encoder network (referred to as CE-Net) to capture more high-level information and preserve spatial information for 2D medical image segmentation.

 Ranked #1 on Lung Nodule Segmentation on LUNA (Accuracy metric)

CELL SEGMENTATION OPTIC DISC SEGMENTATION SEMANTIC SEGMENTATION

Microscopy Cell Segmentation via Convolutional LSTM Networks

29 May 2018arbellea/LSTM-UNet

Live cell microscopy sequences exhibit complex spatial structures and complicated temporal behaviour, making their analysis a challenging task.

CELL SEGMENTATION

Attention-Based Transformers for Instance Segmentation of Cells in Microstructures

19 Nov 2020ChristophReich1996/Cell-DETR

For the specific use case, the proposed method surpasses the state-of-the-art tools for semantic segmentation and additionally predicts the individual object instances.

CELL SEGMENTATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

15 Jan 2020SAIL-GuoLab/Cell_Segmentation_and_Tracking

The ability to extrapolate gene expression dynamics in living single cells requires robust cell segmentation, and one of the challenges is the amorphous or irregularly shaped cell boundaries.

CELL SEGMENTATION

Microscopy Cell Segmentation via Adversarial Neural Networks

18 Sep 2017arbellea/DeepCellSeg

We present a novel method for cell segmentation in microscopy images which is inspired by the Generative Adversarial Neural Network (GAN) approach.

CELL SEGMENTATION

Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario

14 Oct 2018kuku-sichuan/ComparisonDetector

In this paper we propose an efficient CNN-based object detection methods for cervical cancer cells/clumps detection.

CELL SEGMENTATION FEW-SHOT LEARNING OBJECT DETECTION

Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking

28 Jul 2020masqm/Faster-Mean-Shift

With both embedding simulation and empirical validation via the four cohorts from the ISBI cell tracking challenge, the proposed Faster Mean-shift algorithm achieved 7-10 times speedup compared to the state-of-the-art embedding based cell instance segmentation and tracking algorithm.

CELL SEGMENTATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION