文献
J-GLOBAL ID:201802229917658872
整理番号:18A1937463
肝病変分類におけるCNNパフォーマンス増加のためのGaNベース合成医用画像増強【JST・京大機械翻訳】
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
著者 (6件):
Frid-Adar Maayan
(Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel)
,
Diamant Idit
(Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel)
,
Klang Eyal
(Department of Diagnostic Imaging, The Chaim Sheba Medical Center, Tel-Hashomer, Israel)
,
Amitai Michal
(Department of Diagnostic Imaging, The Chaim Sheba Medical Center, Tel-Hashomer, Israel)
,
Goldberger Jacob
(Faculty of Engineering, Bar-Ilan University, Ramat-Gan 52900, Israel)
,
Greenspan Hayit
(Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel)
資料名:
Neurocomputing
(Neurocomputing)
巻:
321
ページ:
321-331
発行年:
2018年
JST資料番号:
W0360A
ISSN:
0925-2312
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)