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Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks

The number of images taken per patient scan has rapidly increased due to advances in software, hardware and digital imaging in the medical domain. There is the need for medical image annotation systems that are accurate as manual annotation is impractical, time-consuming and prone to errors. This pa...

詳細記述

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書誌詳細
出版年:PLoS One
主要な著者: Pelka, Obioma, Nensa, Felix, Friedrich, Christoph M.
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6231616/
https://ncbi.nlm.nih.gov/pubmed/30419028
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0206229
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