Article
Machine Learning to Quantitate Neutrophil NETosis.
Scientific reports - 15 Nov 2019
Elsherif Laila, Sciaky Noah, Metts Carrington A, Modasshir Md, Rekleitis Ioannis, Burris Christine A, Walker Joshua A, Ramadan Nadeem, Leisner Tina M, Holly Stephen P, Cowles Martis W, Ataga Kenneth I, Cooper Joshua N, Parise Leslie V
Abstract excerpt
We introduce machine learning (ML) to perform classification and quantitation of images of nuclei from human blood neutrophils. Here we assessed the use of convolutional neural networks (CNNs) using free, open source software to accurately quantitate neutrophil NETosis, a recently discovered process involved in multiple human diseases. CNNs achieved >94% in performance accuracy in differentiating NETotic from...
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