Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

Deep learning for cellular image analysis

(2019) Erick Moen et al.   NATURE METHODS

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

(2019) Juan C. Caicedo et al.   CYTOMETRY PART A

A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images

(2019) Yuxin Cui et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

CellProfiler 3.0: Next-generation image processing for biology

(2018) Claire McQuin et al.   PLOS BIOLOGY

Object-Oriented Segmentation of Cell Nuclei in Fluorescence Microscopy Images

(2018) Can Fahrettin Koyuncu et al.   CYTOMETRY PART A

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

Machine learning applications in cell image analysis

(2017) Andrey Kan   IMMUNOLOGY AND CELL BIOLOGY

An objective comparison of cell-tracking algorithms

(2017) Vladimír Ulman et al.   NATURE METHODS

Automated Training of Deep Convolutional Neural Networks for Cell Segmentation

(2017) Sajith Kecheril Sadanandan et al.   Scientific Reports

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

(2016) Jun Xu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

High-Content Screening for Quantitative Cell Biology

(2016) Mojca Mattiazzi Usaj et al.   TRENDS IN CELL BIOLOGY

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

(2016) David A. Van Valen et al.   PLoS Computational Biology

Microscopy-Based High-Content Screening

(2015) Michael Boutros et al.   CELL

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

Review of free software tools for image analysis of fluorescence cell micrographs

(2014) V. WIESMANN et al.   JOURNAL OF MICROSCOPY

Machine learning in cell biology – teaching computers to recognize phenotypes

(2013) Christoph Sommer et al.   JOURNAL OF CELL SCIENCE

Cell Segmentation: 50 Years Down the Road [Life Sciences]

(2012) Erik Meijering   IEEE SIGNAL PROCESSING MAGAZINE

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fiji: an open-source platform for biological-image analysis

(2012) Johannes Schindelin et al.   NATURE METHODS

Detection and Segmentation of Cell Nuclei in Virtual Microscopy Images: A Minimum-Model Approach

(2012) Stephan Wienert et al.   Scientific Reports

Comparison of segmentation algorithms for fluorescence microscopy images of cells

(2011) Alden A. Dima et al.   CYTOMETRY PART A

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION