Deep learning for early diagnosis of uveal melanoma: a systematic review and meta-analysis
While fundus imaging is widely used in outpatient care, multimodal imaging remains limited to specialized clinics. Developing software to analyze fundus images could improve early, noninvasive UM detection and offer a cost-effective diagnostic tool.
Authors
- Francisco Cézar Aquino de Moraes (ORCID: https://orcid.org/0000-0003-0623-8135)
- Gustavo Tadeu Freitas Uchôa Matheus (ORCID: https://orcid.org/0009-0005-8707-4823)
- Michele Kreuz (ORCID: https://orcid.org/0009-0009-8968-8190)
- Emanuele Rocha da Silva
- Rommel Mario Rodriguez Burbano
- Ísis Larissa de Brito Dichtl
Institutions
- Universidade de São Paulo (BR)
- Universidade Federal do Piauí (BR)
- Universidade Federal do Triângulo Mineiro (BR)
- Universidade Luterana do Brasil (BR)
- Universidade Federal do Pará (BR)
- Universidade São Francisco (BR)
Publication Details
- Journal
- Clinical & Translational Oncology
- Published
- 2026-01-30
- DOI
- https://doi.org/10.1007/s12094-025-04187-3
- Primary Topic
- Ocular Oncology and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00