CAD-CAP: a 25,000-image database serving the development of artificial intelligence for capsule endoscopy
Background and study aims Capsule endoscopy (CE) is the preferred method for small bowel (SB) exploration. With a mean number of 50,000 SB frames per video, SBCE reading is time-consuming and tedious (30 to 60 minutes per video). We describe a large, multicenter database named CAD-CAP (Computer-Assi...
| 主要な著者: | , , , , , , , , , , , , , , , , , , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Georg Thieme Verlag KG
2020-02-01
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| シリーズ: | Endoscopy International Open |
| オンライン･アクセス: | http://www.thieme-connect.de/DOI/DOI?10.1055/a-1035-9088 |