文献
J-GLOBAL ID:201902268976707815
整理番号:19A0861226
CTスキャンにおける49つの選択された骨のセグメンテーションのための深層学習:骨格転移の自動PET/CTに基づく3D定量化における第一段階【JST・京大機械翻訳】
Deep learning for segmentation of 49 selected bones in CT scans: First step in automated PET/CT-based 3D quantification of skeletal metastases
著者 (11件):
Lindgren Belal Sarah
(Department of Translational Medicine, Lund University, Malmo, Sweden)
,
Sadik May
(Department of Clinical Physiology, Sahlgrenska University Hospital, Goteorg, Sweden)
,
Kaboteh Reza
(Department of Clinical Physiology, Sahlgrenska University Hospital, Goteorg, Sweden)
,
Enqvist Olof
(Department of Signals and Systems, Chalmers University of Technology, Goteborg, Sweden)
,
Ulen Johannes
(Eigenvision AB, Malmo, Sweden)
,
Poulsen Mads H.
(Department of Urology, Odense University Hospital, Odense, Denmark)
,
Simonsen Jane
(Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark)
,
Hoilund-Carlsen Poul F.
(Department of Nuclear Medicine, Odense University Hospital, Odense, Denmark)
,
Edenbrandt Lars
(Department of Clinical Physiology, Sahlgrenska University Hospital, Goteorg, Sweden)
,
Traegardh Elin
(Department of Translational Medicine, Lund University, Malmo, Sweden)
,
Traegardh Elin
(Wallenberg Center for Molecular Medicine, Lund University, Malmo, Sweden)
資料名:
European Journal of Radiology
(European Journal of Radiology)
巻:
113
ページ:
89-95
発行年:
2019年
JST資料番号:
W3246A
ISSN:
0720-048X
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)