Single-Cell Phenotype Classification Using Deep Convolutional Neural Networks

Deep learning methods are currently outperforming traditional state-of-the-art computer vision algorithms in diverse applications and recently even surpassed human performance in object recognition. Here we demonstrate the potential of deep learning methods to high-content screening–based phenotype...

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Veröffentlicht in:	Journal of biomolecular screening 2016-10, Vol.21 (9), p.998-1003
Hauptverfasser:	Dürr, Oliver, Sick, Beate
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Humans Image Processing, Computer-Assisted - statistics & numerical data Machine Learning Neural Networks (Computer) Single-Cell Analysis - methods Software Support Vector Machine
Online-Zugang:	Volltext
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