Сегментация изображений клеток дрожжей под микроскопом при помощи U-net архитектуры нейросети

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Сегментация изображений клеток дрожжей под микроскопом при помощи U-net архитектуры нейросети

Aristova, E. V.,Smirnov, A. A.,Аристова, Е. В.,Смирнов, А. А.-2023-08-31-Electronic scientific archive of UrFU (Ural Federal University)

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TL;DRAbstract

Using U-net architecture of neural network in studing yeast microscope images can help to improve the accuracy of research and make it easier for scientists to study reaction of organisms to different factors. The aim of the work is to create an algorithm and try it on real images of yeast.

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Using U-net architecture of neural network in studing yeast microscope images can help to improve the accuracy of research and make it easier for scientists to study reaction of organisms to different factors. The aim of the work is to create an algorithm and try it on real images of yeast.

Keywords

Artificial neural network Work (physics)Image processing Pattern recognition (psychology)Convolutional neural network Term (time)

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