文献
J-GLOBAL ID:202202243866382662
整理番号:22A1039278
マイクロアレイ遺伝子発現を用いた最適深層学習可能前立腺癌検出【JST・京大機械翻訳】
Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression
著者 (7件):
Alshareef Abdulrhman M.
(Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia)
,
Alsini Raed
(Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia)
,
Alsieni Mohammed
(Department of Pharmacology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia)
,
Alrowais Fadwa
(Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh 11671, Saudi Arabia)
,
Marzouk Radwa
(Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia)
,
Abunadi Ibrahim
(Department of Information Systems, College of Computer and Information Sciences, Prince Sultan University, P.O. Box No. 66833, Rafha Street, Riyadh 11586, Saudi Arabia)
,
Nemri Nadhem
(Department of Information Systems, College of Science and Arts at Muhayel, King Khalid University, Mahayel Aseer, Saudi Arabia)
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)