文献
J-GLOBAL ID:202202259367413682
整理番号:22A0842780
カスケード完全畳込みニューラルネットワークを用いた肝臓癌スクリーニングと予測のためのAI駆動新規アプローチ【JST・京大機械翻訳】
AI-DRIVEN Novel Approach for Liver Cancer Screening and Prediction Using Cascaded Fully Convolutional Neural Network
著者 (5件):
Shukla Piyush Kumar
(Computer Science & Engineering Department, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal 462033, India)
,
Zakariah Mohammed
(College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia)
,
Hatamleh Wesam Atef
(Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh 11543, Saudi Arabia)
,
Tarazi Hussam
(Department of Computer Science and Informatics, School of Engineering and Computer Science, Oakland University, Rochester Hills MI USA 318 Meadow Brook rd, Rochester, MI 48309, USA)
,
Tiwari Basant
(Department of Information Technology, Hawassa University, Institute of Technology, Hawassa, Ethiopia)
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)