Conceptio › Archive › HAL (France)
HAL (France)open access

The AROMA Dataset for Automatic Detection of Artifact Type and Severity in Retinal Optical Coherence Tomography Angiography

Lucas Szwarcberg et al.
HAL (France) · Papers · License: Open Access
Open Source ↗
0, Retinal imaging, 1, Deep learning, 2, Artifacts, Optical coherence tomography angiography
This document is indexed with metadata only — full text is not available in the archive for this record. Open the official source ↗
Record · ID 333961
Retrieved via Conceptio — every document is proof-bundled with source, license, and retrieval metadata.