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Not getting in too deep: A practical deep learning approach to routine crystallisation image classification
Using a relatively small training set of (~)16 thousand images from macromolecular crystallisation experiments, we compare classification results obtained with four of the most widely-used convolutional deep-learning network architectures that can be implemented without the need for extensive comput...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997964/ https://www.ncbi.nlm.nih.gov/pubmed/36893084 http://dx.doi.org/10.1371/journal.pone.0282562 |