文献
J-GLOBAL ID:202402249414677565
整理番号:24A1727803
深層学習特徴およびサポートベクトルマシンを用いた多様体子宮頸部異常カテゴリー化【JST機械翻訳】
Manifold Cervical Abnormality Categorization using Deep Learned Features and Support Vector Machine
著者 (6件):
Munirathinam Ramesh
(Karpagam Academy of Higher Education,Department of Biomedical Engineering,Coimbatore,India)
,
Muthulakshmi M
(Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Department of ECE,Chennai,India)
,
Latha M
(Rajalakshmi Engineering College,Department of ECE,Chennai,India)
,
Uttejitha Kotagiri
(Amrita Vishwa Vidyapeetham,Amrita School of Engineering,Department of ECE,Chennai,India)
,
A Naveen
(Karpagam Academy of Higher Education,Department of Biomedical Engineering,Coimbatore,India)
,
Tamilnidhi M
(Karpagam College of Engineering,Department of ECE,Coimbatore,India)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2024
号:
ICBSII
ページ:
1-6
発行年:
2024年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)