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J-GLOBAL ID：202202269495918456   Reference number：22A1039150

Optimal Medical Image Size Reduction Model Creation Using Recurrent Neural Network and GenPSOWVQ

リカレントニューラルネットワークとGenPSOWVQを用いた最適医用画像サイズ縮小モデル生成【JST・京大機械翻訳】

Author (6)： Sridhar Chethana (Department of Computer Applications, Sivananda Sarma Memorial R.V. College, Bangalore, Karnataka, India) ,  Pareek Piyush Kumar (Department of Computer Science Engineering, Nitte Meenakshi Institute of Technology, Bangalore, Karnataka, India) ,  Kalidoss R. (Sri Sivasubramaniya Nadar College of Engineering, Chennai, India) ,  Jamal Sajjad Shaukat (Department of Mathematics, College of Science, King Khalid University, Abha, Saudi Arabia) ,  Shukla Prashant Kumar (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur 522502, Andhra Pradesh, India) ,  Nuagah Stephen Jeswinde (Department of Electrical Engineering, Tamale Technical University, Tamale, Ghana)
Material： Journal of Healthcare Engineering (Web)
Volume： 2022  Page： Null  Publication year： 2022 
JST Material Number： U7772A  ISSN： 2040-2295  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： Medical diagnosis is always a ...

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Thesaurus term： optimization ,  coding(signal) ,  decision making ,  automation ,  *neural network(biomodel) ,  wave packet ,  image processing ,  *medical image ,  image compression ,  *neural network(network) ,  code table ,  genetic algorithm
Semi thesaurus term： *リカレントニューラルネットワーク ,  計算コスト ,  医用画像処理 ,  画像解像度 , 【Automatic Indexing@JST】

JST classification (2)： Medical image processing  (JE04020T) ,  Graphic and image processing in general  (JE04010I)

Reference (36)：

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Terms in the title (4)： リカレントニューラルネットワーク ,  医用画像 ,  サイズ縮小 ,  モデル生成