文献
J-GLOBAL ID:202202253714920418
整理番号:22A0890069
深層学習ベース人工知能を用いた黄斑円孔に対する硝子体手術後の術後視力の予測【JST・京大機械翻訳】
Prediction of postoperative visual acuity after vitrectomy for macular hole using deep learning-based artificial intelligence
著者 (8件):
Obata Shumpei
(Department of Ophthalmology, Shiga University of Medical Science, Otsu, Shiga, Japan)
,
Ichiyama Yusuke
(Department of Ophthalmology, Shiga University of Medical Science, Otsu, Shiga, Japan)
,
Kakinoki Masashi
(Department of Ophthalmology, Shiga University of Medical Science, Otsu, Shiga, Japan)
,
Sawada Osamu
(Department of Ophthalmology, Shiga University of Medical Science, Otsu, Shiga, Japan)
,
Saishin Yoshitsugu
(Department of Ophthalmology, Shiga University of Medical Science, Otsu, Shiga, Japan)
,
Ito Taku
(Department of Ophthalmology, Shiga University of Medical Science, Otsu, Shiga, Japan)
,
Tomioka Mari
(Department of Ophthalmology, Shiga University of Medical Science, Otsu, Shiga, Japan)
,
Ohji Masahito
(Department of Ophthalmology, Shiga University of Medical Science, Otsu, Shiga, Japan)
資料名:
Graefe’s Archive for Clinical and Experimental Ophthalmology
(Graefe's Archive for Clinical and Experimental Ophthalmology)
巻:
260
号:
4
ページ:
1113-1123
発行年:
2022年
JST資料番号:
W4398A
ISSN:
0721-832X
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)