文献
J-GLOBAL ID:202102279143915856
整理番号:21A2033386
胸部X線画像分析によるCOVID-19患者の肺炎検出のための深層学習アプローチ【JST・京大機械翻訳】
Deep Learning Approaches for Detecting Pneumonia in COVID-19 Patients by Analyzing Chest X-Ray Images
著者 (8件):
Hasan M. D. Kamrul
(Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka-1229, Bangladesh)
,
Ahmed Sakil
(Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka-1229, Bangladesh)
,
Abdullah Z. M. Ekram
(Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka-1229, Bangladesh)
,
Monirujjaman Khan Mohammad
(Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka-1229, Bangladesh)
,
Anand Divya
(Department of Computer Science and Engineering, Lovely Professional University, Punjab-144411, Phagwara, India)
,
Singh Aman
(Department of Computer Science and Engineering, Lovely Professional University, Punjab-144411, Phagwara, India)
,
AlZain Mohammad
(Department of Information Technology, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia)
,
Masud Mehedi
(Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia)
資料名:
Mathematical Problems in Engineering (Web)
(Mathematical Problems in Engineering (Web))
巻:
2021
ページ:
Null
発行年:
2021年
JST資料番号:
U7803A
ISSN:
1024-123X
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)