dfm (IMAGE)

Kazan Federal University

dfm

Caption

The overview of the classification procedure. During (1) the training process, automatic feature extraction from the annotated dataset occurred, while in (2) the prediction step, the obtained residual neural network model classified unlabelled single-particle images. Conv2D, 2D convolution layer; FC, fully connected layer

Credit

Kazan Federal University

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None

License

Original content

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