文献
J-GLOBAL ID:202002270174048629
整理番号:20A1957055
死後肺CT画像を用いた法医学的調査のための深層学習支援ドローニング診断【JST・京大機械翻訳】
A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images
著者 (11件):
Homma Noriyasu
(Tohoku University Graduate School of Medicine,Sendai,Japan,980-8575)
,
Zhang Xiaoyong
(Sendai College,National Institute of Technology,Sendai,Japan,989-3128)
,
Qureshi Amber
(Tohoku University,Graduate School of Biomedical Engineering,Sendai,Japan,980-8575)
,
Konno Takuya
(Akita University Hospital,Akita,Japan,010-8543)
,
Kawasumi Yusuke
(Tohoku University Graduate School of Medicine,Sendai,Japan,980-8575)
,
Usui Akihito
(Tohoku University Graduate School of Medicine,Sendai,Japan,980-8575)
,
Funayama Masato
(Tohoku University Graduate School of Medicine,Sendai,Japan,980-8575)
,
Bukovsky Ivo
(Czech Technical University in Prague,Faculty of Mechanical Engineering,Prague,Czech Republic)
,
Ichiji Kei
(Tohoku University Graduate School of Medicine,Sendai,Japan,980-8575)
,
Sugita Norihiro
(Tohoku University,Graduate School of Engineering,Sendai,Japan,980-8579)
,
Yoshizawa Makoto
(Tohoku University,CyberScience Center,Sendai,Japan,980-8579)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
EMBC
ページ:
1262-1265
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)