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EMPHYSEMA CLASSIFICATION USING A MULTI-VIEW CONVOLUTIONAL NETWORK

In this article we propose and validate a fully automatic tool for emphysema classification in Computed Tomography (CT) images. We hypothesize that a relatively simple Convolutional Neural Network (CNN) architecture can learn even better discriminative features from the input data compared with more...

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書誌詳細
出版年:Proc IEEE Int Symp Biomed Imaging
主要な著者: Bermejo-Peláez, David, San José Estépar, Raúl, Ledesma-Carbayo, M. J.
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7243961/
https://ncbi.nlm.nih.gov/pubmed/32454948
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/isbi.2018.8363629
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