Development and Validation of a Deep Learning Algorithm for Differentiation of Choroidal Nevi from Small Melanoma in Fundus Photographs
Financial DisclosuresProprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
Authors
- Jakub Bartoszek (ORCID: https://orcid.org/0009-0007-2680-3687)
- Gustav Stålhammar (ORCID: https://orcid.org/0000-0001-9401-8911)
- Shiva Sabazade (ORCID: https://orcid.org/0000-0003-2533-3103)
- Maria Filì (ORCID: https://orcid.org/0000-0003-4398-9755)
- Marco A. Lumia Michalski (ORCID: https://orcid.org/0009-0005-9681-3472)
- Mats Holmström (ORCID: https://orcid.org/0000-0001-9148-0203)
Institutions
- Karolinska Institutet (SE)
- S:t Eriks Ögonsjukhus (SE)
- Landstinget i Kalmar län (SE)
Publication Details
- Journal
- Ophthalmology Science
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1016/j.xops.2024.100613
- Citations
- 27
- Primary Topic
- Ocular Oncology and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 14.55
Funders
- Ögonfonden
- Cancerfonden
- Stockholms Läns Landsting
- Svenska Läkaresällskapet