文献
J-GLOBAL ID:202202233528051857
整理番号:22A0897365
相関フィルタを用いた組織学画像における核検出のためのマルチレベル特徴融合【JST・京大機械翻訳】
Multi-level feature fusion for nucleus detection in histology images using correlation filters
著者 (7件):
Javed Sajid
(Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
,
Javed Sajid
(Khalifa University Centre for Autonomous Robotics Systems (KUCARS), Abu Dhabi, United Arab Emirates)
,
Mahmood Arif
(Department of Computer Science, Information Technology University, Lahore, Pakistan)
,
Dias Jorge
(Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
,
Dias Jorge
(Khalifa University Centre for Autonomous Robotics Systems (KUCARS), Abu Dhabi, United Arab Emirates)
,
Werghi Naoufel
(Department of Electrical Engineering and Computer Science, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates)
,
Werghi Naoufel
(Khalifa University Centre for Autonomous Robotics Systems (KUCARS), Abu Dhabi, United Arab Emirates)
資料名:
Computers in Biology and Medicine
(Computers in Biology and Medicine)
巻:
143
ページ:
Null
発行年:
2022年
JST資料番号:
E0858A
ISSN:
0010-4825
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)