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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Detalles Bibliográficos
Autores principales: Antonio, Victor Andrew A., Ono, Naoaki, Saito, Akira, Sato, Tetsuo, Altaf-Ul-Amin, Md., Kanaya, Shigehiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Original Article
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

Internet

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

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