文献
J-GLOBAL ID:202202223286459986
整理番号:22A0827769
エンドツーエンド自動核型化のための伝統的およびディープベース技術:レビュー【JST・京大機械翻訳】
Traditional and deep-based techniques for end-to-end automated karyotyping: A review
著者 (8件):
Remani Sathyan Remya
(Department of Computer Science and Engineering, College of Engineering Attingal (IHRD), Thiruvananthapuram, Kerala, India)
,
Remani Sathyan Remya
(Department of Electronics and Communication Engineering, College of Engineering Karunagappally (IHRD), Kollam, Kerala, India)
,
Remani Sathyan Remya
(APJ Abdul Kalam Technological University, Kerala, India)
,
Chandrasekhara Menon Gopakumar
(Department of Electronics and Communication Engineering, College of Engineering Karunagappally (IHRD), Kollam, Kerala, India)
,
Chandrasekhara Menon Gopakumar
(APJ Abdul Kalam Technological University, Kerala, India)
,
S Hariharan
(Department of Cancer Research, Regional Cancer Center, Thiruvananthapuram, Kerala, India)
,
Thampi Rakhi
(Department of Electronics and Communication Engineering, College of Engineering Karunagappally (IHRD), Kollam, Kerala, India)
,
Duraisamy Jude Hemanth
(Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India)
資料名:
Expert Systems
(Expert Systems)
巻:
39
号:
3
ページ:
e12799
発行年:
2022年
JST資料番号:
T0510A
ISSN:
0266-4720
資料種別:
逐次刊行物 (A)
記事区分:
文献レビュー
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)