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Improving feature extraction from histopathological images through a fine-tuning ImageNet model
BACKGROUND: Due to lack of annotated pathological images, transfer learning has been the predominant approach in the field of digital pathology. Pre-trained neural networks based on ImageNet database are often used to extract “off-the-shelf” features, achieving great success in predicting tissue typ...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577036/ https://www.ncbi.nlm.nih.gov/pubmed/36268072 http://dx.doi.org/10.1016/j.jpi.2022.100115 |