Interactive machine learning for fast and robust cell profiling

Interactive machine learning for fast and robust cell profiling

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Automated profiling of cell morphology is a powerful tool for inferring cell function. However, this technique retains a high barrier to entry. In particular, configuring image processing parameters for optimal cell profiling is susceptible to cognitive biases and dependent on user experience. Here,...

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Bibliographic Details
Main Authors: Lisa Laux, Marie F. A. Cutiongco, Nikolaj Gadegaard, Bjørn Sand Jensen, Tim Wilhelm Nattkemper
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485821/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485821/?tool=EBI

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