Presentation Information

[113]Deep learning TEM image segmentation for automated microstructural analysis of FePt-C recording media

*Nikita Kulesh1, Anton Bolyachkin1, Ippei Suzuki1, Yukiko Takahashi1, Hossein Sepehri-Amin1 (1. NIMS)

Keywords:

machine learning,transmission electron microscopy,magnetic recording,convolutional neural networks,FePt

Pipeline for automatic processing of TEM images based on deep learning image segmentation was developed, applied to FePt-C samples, used for generating a dataset and building an optimization algorithm