Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects
Background and study aims The contribution of artificial intelligence (AI) to endoscopy is rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting step for such projects and is a painstaking, cost-inefficient, time-consuming process. A novel software platform, C...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Georg Thieme Verlag KG
2021-04-01
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| Series: | Endoscopy International Open |
| Online Access: | http://www.thieme-connect.de/DOI/DOI?10.1055/a-1341-0689 |