A multi-scale convolutional neural network for phenotyping high-content cellular images.

Journal: Bioinformatics (Oxford, England)
Published Date: Jul 1, 2017

Abstract

MOTIVATION: Identifying phenotypes based on high-content cellular images is challenging. Conventional image analysis pipelines for phenotype identification comprise multiple independent steps, with each step requiring method customization and adjustment of multiple parameters.

Authors

  • William J Godinez
    Novartis Institutes for BioMedical Research Inc., Basel, Switzerland.
  • Imtiaz Hossain
    Novartis Institutes for BioMedical Research Inc., Basel, Switzerland.
  • Stanley E Lazic
    Novartis Institutes for BioMedical Research Inc., Basel, Switzerland.
  • John W Davies
    Novartis Institutes for BioMedical Research Inc., Cambridge, MA, USA.
  • Xian Zhang
    The Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, Wuxi, China.

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