文献
J-GLOBAL ID:201802265223999948
整理番号:18A1296760
非密封線源治療における完全自動放射線量推定のための深部学習腎臓セグメンテーション【JST・京大機械翻訳】
Deep Learning Renal Segmentation for Fully Automated Radiation Dose Estimation in Unsealed Source Therapy
著者 (8件):
Jackson Price
(Sir Peter MacCallum Department of Oncology, The University of Melbourne)
,
Jackson Price
(Department of Molecular Imaging, Peter MacCallum Cancer Centre)
,
Jackson Price
(Department of Physical Sciences, Peter MacCallum Cancer Centre)
,
Hardcastle Nicholas
(Department of Physical Sciences, Peter MacCallum Cancer Centre)
,
Dawe Noel
(School of Physics, University of Melbourne)
,
Kron Tomas
(Department of Physical Sciences, Peter MacCallum Cancer Centre)
,
Hofman Michael S.
(Department of Molecular Imaging, Peter MacCallum Cancer Centre)
,
Hicks Rodney J.
(Department of Molecular Imaging, Peter MacCallum Cancer Centre)
資料名:
Frontiers in Oncology (Web)
(Frontiers in Oncology (Web))
巻:
8
ページ:
215
発行年:
2018年
JST資料番号:
U7089A
ISSN:
2234-943X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)