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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223755/ https://www.ncbi.nlm.nih.gov/pubmed/30159833 http://dx.doi.org/10.1007/s11548-018-1835-2 |