FAROOQ, SAJIDCARAMEL-JUVINO, AMANDADEL-VALLE, MATHEUSSANTOS, SOFIABERNARDES, EMERSON S.ZEZELL, DENISE M.2023-01-262023-01-26FAROOQ, SAJID; CARAMEL-JUVINO, AMANDA; DEL-VALLE, MATHEUS; SANTOS, SOFIA; BERNARDES, EMERSON S.; ZEZELL, DENISE M. Superior Machine Learning Method for breast cancer cell lines identification. In: SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, October 13-15, 2022, Recife, PE. <b>Proceedings...</b> Piscataway, NJ, USA: IEEE, 2022. DOI: <a href="https://dx.doi.org/10.1109/SBFotonIOPC54450.2022.9992467">10.1109/SBFotonIOPC54450.2022.9992467</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/33669.http://repositorio.ipen.br/handle/123456789/33669We propose an artificial intelligence platform based on machine learning (ML) algorithm using Neighborhood Component analysis and K-Nearest Neighbors for breast cancer cell lines recognition. Our model presents up to 97% accuracy for identification of breast cancer cell lines.openAccessneoplasmsmammary glandstumor cellsmachine learningartificial intelligenceaccuracyidentification systemsTexto completo de evento10.1109/SBFotonIOPC54450.2022.99924670000-0001-7404-96060000-0002-0029-7313https://orcid.org/0000-0002-0029-7313https://orcid.org/0000-0001-7404-9606