文献
J-GLOBAL ID:202002299477273096
整理番号:20A0795239
深部畳込みニューラルネットワークとルールベースを用いたターゲット曝露指数の計算【JST・京大機械翻訳】
Calculating the target exposure index using a deep convolutional neural network and a rule base
著者 (6件):
Takaki Takeshi
(Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan)
,
Takaki Takeshi
(Department of Radiology, Hospital of University of Occupational and Environmental Health, Iseigaoka 1-1, Yahatanishi-ku, Kitakyushu-shi, Fukuoka 807-8555, Japan)
,
Murakami Seiichi
(Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University, 1-1-1 Chikushigaoka, Minami-ku, Fukuoka 815-8510, Japan)
,
Watanabe Ryo
(Department of Radiology, Hospital of University of Occupational and Environmental Health, Iseigaoka 1-1, Yahatanishi-ku, Kitakyushu-shi, Fukuoka 807-8555, Japan)
,
Aoki Takatoshi
(Department of Radiology, University of Occupational and Environmental Health School of Medicine, Iseigaoka 1-1, Yahatanishi-ku, Kitakyushu-shi, Fukuoka 807-8555, Japan)
,
Fujibuchi Toshioh
(Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan)
資料名:
Physica Medica
(Physica Medica)
巻:
71
ページ:
108-114
発行年:
2020年
JST資料番号:
W3316A
ISSN:
1120-1797
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)