文献
J-GLOBAL ID:202202278378426565
整理番号:22A0776417
直接ラジオグラフィーにおける舟状骨骨折診断のための人工知能システムの評価【JST・京大機械翻訳】
Evaluation of an artificial intelligence system for diagnosing scaphoid fracture on direct radiography
著者 (6件):
Ozkaya Emre
(Department of Emergency Medicine, Izmir Katip Celebi University, Ataturk Training and Research Hospital, Izmir, Turkey)
,
Topal Fatih Esad
(Department of Emergency Medicine, Izmir Katip Celebi University, Ataturk Training and Research Hospital, Izmir, Turkey)
,
Bulut Tugrul
(Department of Orthopaedics and Traumatology, Ataturk Training and Research Hospital, Izmir Katip Celebi University, Izmir, Turkey)
,
Gursoy Merve
(Department of Radiology, Faculty of Medicine, Izmir Democracy University, Izmir, Turkey)
,
Ozuysal Mustafa
(Department of Computer Engineering, Izmir Institute of Technology, Izmir, Turkey)
,
Karakaya Zeynep
(Department of Emergency Medicine, Izmir Katip Celebi University, Ataturk Training and Research Hospital, Izmir, Turkey)
資料名:
European Journal of Trauma and Emergency Surgery
(European Journal of Trauma and Emergency Surgery)
巻:
48
号:
1
ページ:
585-592
発行年:
2022年
JST資料番号:
W4348A
ISSN:
1863-9933
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)