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Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks
PURPOSE: Convolutional neural networks have become rapidly popular for image recognition and image analysis because of its powerful potential. In this paper, we developed a method for classifying subtypes of lung adenocarcinoma from pathological images using neural network whose that can evaluate ph...
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| Опубликовано в: : | Int J Comput Assist Radiol Surg |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer International Publishing
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6223755/ https://ncbi.nlm.nih.gov/pubmed/30159833 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11548-018-1835-2 |
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