Automated learning of glaucomatous visual fields from OCT images using a comprehensive, segmentation-free 3D convolutional neural network model
Crossref DOI link: https://doi.org/10.1038/s41598-025-98511-0
Published Online: 2025-04-18
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Koyama, Makoto
Ueno, Yuta
Ito, Yoshikazu
Oshika, Tetsuro
Tanito, Masaki
Text and Data Mining valid from 2025-04-18
Version of Record valid from 2025-04-18
Article History
Received: 11 May 2024
Accepted: 11 April 2025
First Online: 18 April 2025
Declarations
:
: The authors declare no competing interests.