| タイトル |
Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
|
| 著者 |
Shibata Naoto
Mitsuhashi Keita
Fujino Yuri
Matsuura Masato
Murata Hiroshi
Asaoka Ryo
|
| 収録物名 |
SCIENTIFIC REPORTS
|
| 巻 | 8 |
| 収録物識別子 |
ISSN 2045-2322
|
| 言語 |
英語
|
| 資源タイプ | 学術雑誌論文 |
| 出版者 |
NATURE PUBLISHING GROUP
|
| 発行日 | 2018-10-2 |
| アクセス権 | メタデータのみ |
| 関連情報 |
[DOI] 10.1038/s41598-018-33013-w
[PMID] 30279554
|
| 備考 | Supported by Grant 17K11418 from the Ministry of Education, Culture, Sports, Science and Technology of Japan and the Translational Research program; Strategic PRomotion for practical application of INnovative medical Technology, TR-SPRINT, from Japan Agency for Medical Research and Development, AMED. This research is (partially) supported by The Translational Research program; Strategic PRomotion for practical application of INnovative medical Technology, TR-SPRINT, from Japan Agency for Medical Research and Development, AMED, Grant 17K11418 from the Ministry of Education, Culture, Sports, Science, and Technology of Japan and Japan Science and Technology Agency (JST) CREST JPMJCR1304. |
