HIGHLIGHTS
- who: (Received et al. from the Molecular Foundry, Lawrence Berkeley National Laboratory, Cyclotron Road, Berkeley, CA, USA and Materials Science and Engineering, University of have published the article: Understanding the Influence of Receptive Field and Network Complexity in Neural Network-Guided TEM Image Analysis, in the Journal: (JOURNAL)
- what: The authors focus on decoupling the influence of receptive field or the area of the input image that contributes to the output decision from network complexity which dictates the number of trainable parameters. Using curated TEM image datasets with controlled acquisition and sample parameters, the authors . . .
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