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Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images
The purpose of this study is to evaluate transfer learning with deep convolutional neural networks for the classification of abdominal ultrasound images. Grayscale images from 185 consecutive clinical abdominal ultrasound studies were categorized into 11 categories based on the text annotation speci...
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| Publicado en: | J Digit Imaging |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer International Publishing
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5359213/ https://ncbi.nlm.nih.gov/pubmed/27896451 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-016-9929-2 |
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