PERES, DANIELLA L.SILVA, DANIELA T. daFELIPE, JOAQUIM C.CORREA, LUCIANAMATOS, LEANDRO L. dePEREIRA, THIAGO M.ZEZELL, DENISE M.2026-02-232026-02-23PERES, DANIELLA L.; SILVA, DANIELA T. da; FELIPE, JOAQUIM C.; CORREA, LUCIANA; MATOS, LEANDRO L. de; PEREIRA, THIAGO M.; ZEZELL, DENISE M. Discriminating oral squamous cell carcinoma via µFTIR spectroscopy imaging and tree-based models. In: SBFoton International Optics and Photonics Conference (SBFoton IOPC), 21-24 september, São Pedro, SP. São Pedro: IEEE, 2025. p. 1-3. DOI: <a href="https://dx.doi.org/10.1109/SBFotonIOPC66433.2025.11218421">10.1109/SBFotonIOPC66433.2025.11218421</a>. Disponível em: https://repositorio.ipen.br/handle/123456789/49351.https://repositorio.ipen.br/handle/123456789/49351This study evaluates the classification of oral squamous cell carcinoma (OSCC) using micro-FTIR hyperspectral imaging and two tree-based models: Random Forest and XGBoost. After preprocessing and PCA, class imbalance was addressed with AllKNN and Tomek Links. Both models achieved high accuracy, and key spectral bands-Amide I, II, and III-were consistently highlighted, supporting their relevance in oral cancer detection.1-3engclosedAccessTexto completo de evento10.1109/SBFotonIOPC66433.2025.11218421https://orcid.org/0000-0001-7404-9606