Art

J-GLOBAL ID：201902263605053067   Reference number：19A0437421

Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks

深部畳込みネットワークを用いた病理画像からの肺腺癌トランスクリプトームサブタイプの分類【JST・京大機械翻訳】

Author (6)： Antonio Victor Andrew A. (Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan) ,  Ono Naoaki (Data Science Center, Nara Institute of Science and Technology, Ikoma, Japan) ,  Saito Akira (Division for Health Service Promotion, University of Tokyo, Tokyo, Japan) ,  Sato Tetsuo (Graduate School of information Science, Nara Institute of Science and Technology, Ikoma, Japan) ,  Altaf-Ul-Amin Md. (Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan) ,  Kanaya Shigehiko (Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan)
Material： International Journal of Computer Assisted Radiology and Surgery
Volume： 13  Issue： 12  Page： 1905-1913  Publication year： 2018 
JST Material Number： W4459A  ISSN： 1861-6410  Document type： Article
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Convolutional neural networks ...

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Thesaurus term： neural network(biomodel) ,  neural network(network) ,  image recognition ,  phenotype ,  *network ,  reconstitution ,  genome ,  *image ,  image analysis ,  *convolution ,  feature extraction ,  *transcriptome
Semi thesaurus term： *サブタイプ ,  *肺腺癌 , 【Automatic Indexing@JST】

Author keywords (5)： Deep learning ,  Lung cancer ,  Computer-aided diagnosis ,  Autoencoder ,  Independent subspace analysis

JST classification (3)： Medical image processing  (JE04020T) ,  Pattern recognition  (JE07000S) ,  Artificial intelligence  (JE08000Z)

Terms in the title (5)： 深部 ,  畳込み ,  病理画像 ,  肺腺癌 ,  分類