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A small-dataset-trained deep learning framework for identifying atoms on transmission electron microscopy images
To accurately identify atoms on noisy transmission electron microscope images, a deep learning (DL) approach is employed to estimate the map of probabilities at each pixel for being an atom with element discernment. Thanks to a delicately-designed loss function and the ability to extract features, t...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929221/ https://www.ncbi.nlm.nih.gov/pubmed/36788257 http://dx.doi.org/10.1038/s41598-023-29606-9 |