[HTML][HTML] Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects
US Hansen, E Landau, M Patel… - Endoscopy International …, 2021 - thieme-connect.com
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 …
rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting …
Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects.
US Hansen, E Landau, M Patel… - Endoscopy International …, 2021 - europepmc.org
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 …
rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting …
[HTML][HTML] Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects
US Hansen, E Landau, M Patel… - Endoscopy International …, 2021 - ncbi.nlm.nih.gov
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 …
rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting …
Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects
US Hansen, E Landau, M Patel… - Endoscopy …, 2021 - pubmed.ncbi.nlm.nih.gov
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 …
rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting …
Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects
US Hansen, E Landau, M Patel… - Endoscopy International …, 2021 - thieme-connect.com
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 …
rapidly expanding. Accurate labelling of source data (video frames) remains the rate-limiting …
Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects
US Hansen, E Landau, M Patel, BH Hayee - medRxiv, 2020 - medrxiv.org
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 …
labelling of source data (video frames) remains the rate-limiting step for such projects and is …
Novel artificial intelligence-driven software significantly shortens the time required for annotation in computer vision projects
US Hansen, E Landau, M Patel, B Hayee - 2020 - europepmc.org
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 …
labelling of source data (video frames) remains the rate-limiting step for such projects and is …