文献
J-GLOBAL ID:202202269495918456
整理番号:22A1039150
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】
Optimal Medical Image Size Reduction Model Creation Using Recurrent Neural Network and GenPSOWVQ
著者 (6件):
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)
資料名:
Journal of Healthcare Engineering (Web)
(Journal of Healthcare Engineering (Web))
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
U7772A
ISSN:
2040-2295
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)