文献
J-GLOBAL ID:201802211482874631
整理番号:18A0518620
肺癌の正確な診断のための肺小結節の出現と形状特徴を組み込むための新しいフレームワーク【Powered by NICT】
A new framework for incorporating appearance and shape features of lung nodules for precise diagnosis of lung cancer
著者 (9件):
Shaffie Ahmed
(BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, USA)
,
Soliman Ahmed
(BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, USA)
,
Ghazal Mohammed
(BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, USA)
,
Taher Fatma
(Department of Electrical and Computer Engineering, Khalifa University, Abu Dhabi, UAE)
,
Dunlap Neal
(Department of Radiation Oncology, University of Louisville, Louisville, KY, USA)
,
Wang Brian
(Department of Radiation Oncology, University of Louisville, Louisville, KY, USA)
,
Elmaghraby Adel
(Computer Engineering and Computer Science Department, University of Louisville, Louisville, KY, USA)
,
Gimel’farb Georgy
(Department of Computer Science, University of Auckland, Auckland, New Zealand)
,
El-Baz Ayman
(BioImaging Laboratory, Bioengineering Department, University of Louisville, Louisville, KY, USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ICIP
ページ:
1372-1376
発行年:
2017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)