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J-GLOBAL ID：201902245240507135   Reference number：19A2896878

機械学習を用いた診断用X線装置品質管理データの異常検出の検討

Author (3)：
SAITO YUKI

About SAITO YUKI

(群馬パース大 保健科学)

About 群馬パース大 保健科学

, 
OGURA IZUMI

About OGURA IZUMI

(首都大学東京 健康福祉)

About 首都大学東京 健康福祉

, 
NEGISHI TOORU

About NEGISHI TOORU

(首都大学東京 健康福祉)

About 首都大学東京 健康福祉


Material：
日本放射線技術学会雑誌  (Japanese Journal of Radiological Technology)

About 日本放射線技術学会雑誌


Volume： 75  Issue： 9  Page： 994  Publication year： Sep. 20, 2019 
JST Material Number： F0884A  ISSN： 0369-4305  CODEN： NIPHAP  Document type： Article
Article type： 会議録記事  Country of issue： Japan (JPN)  Language： JAPANESE (JA)
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*Machine Learning

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診断参考レベル

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JST classification (3)：
JST classification
Category name(code) classified by JST.
Radiodiagnosis 
(GC04020K)

About Radiodiagnosis

,  Medical instruments and apparatuses 
(GA05020L)

About Medical instruments and apparatuses

,  Dosimetry and instruments 
(AD08050Q)

About Dosimetry and instruments

Terms in the title (4)：
Terms in the title
Keywords automatically extracted from the title.
機械学習

About 機械学習

, 
診断用X線装置

About 診断用X線装置

, 
品質管理

About 品質管理

, 
異常検出

About 異常検出


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