文献
J-GLOBAL ID:202102221428017071
整理番号:21A0445088
CTにおけるCOVID-19感染のセグメンテーション: 4つのUnetベースネットワークの比較【JST・京大機械翻訳】
Segmentation of COVID-19 Infections on CT: Comparison of Four UNet-Based Networks
著者 (5件):
Hasanzadeh Navid
(University of Tehran,CIPCE, School of Electrical and Computer Engineering,Tehran,Iran)
,
Paima Saman Sotoudeh
(University of Tehran,CIPCE, School of Electrical and Computer Engineering,Tehran,Iran)
,
Bashirgonbadi Ali
(University of Tehran,CIPCE, School of Electrical and Computer Engineering,Tehran,Iran)
,
Naghibi Mehran
(Tabriz University of Medical Sciences,Faculty of Medicine,Department of Anatomical Sciences,Tabriz,Iran)
,
Soltanian-Zadeh Hamid
(University of Tehran - Henry Ford Health System Tehran, Iran,CIPCE, School of Electrical and Computer Engineering - Medical Image Analysis Lab,Departments of Radiology and Research Administration,Detroit,MI,USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ICBME
ページ:
222-225
発行年:
2020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)