Deep Learning in Image Cytometry: A Review

Artificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific presentations as well as in the general media. In this review, we focus on deep learning and how it is applied to microscopy image data of cells and tissue...

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Veröffentlicht in:	Cytometry. Part A Jg. 95; H. 4; S. 366 - 380
Hauptverfasser:	Gupta, Anindya, Harrison, Philip J., Wieslander, Håkan, Pielawski, Nicolas, Kartasalo, Kimmo, Partel, Gabriele, Solorzano, Leslie, Suveer, Amit, Klemm, Anna H., Spjuth, Ola, Sintorn, Ida‐Maria, Wählby, Carolina
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.04.2019 Wiley Subscription Services, Inc
Schlagworte:	Animals Artificial intelligence Artificial Intelligence - trends Artificial neural networks biomedical image analysis cell analysis Computerized Image Processing convolutional neural networks Cytometry Datoriserad bildbehandling Deep learning Deep Learning - trends Humans image cytometry Image Cytometry - instrumentation Image Cytometry - methods Image Cytometry - trends Image Processing, Computer-Assisted - methods Machine Learning microscopy Microscopy - instrumentation Microscopy - methods Nervous system Neural networks Neural Networks, Computer Review deep learning biomedical image analysis microscopy convolutional neural networks image cytometry cell analysis machine learning
ISSN:	1552-4922, 1552-4930, 1552-4930
Online-Zugang:	Volltext
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