Breast cancer subtype classification using a one-dimensional convolutional neural network in hyperspectral images

DEL-VALLE, MATHEUSSANTOS, MOISES O. dosBERNARDES, EMERSON S.ZEZELL, DENISE M.2023-02-062023-02-06DEL-VALLE, MATHEUS; SANTOS, MOISES O. dos; BERNARDES, EMERSON S.; ZEZELL, DENISE M. Breast cancer subtype classification using a one-dimensional convolutional neural network in hyperspectral images. In: LATIN AMERICA OPTICS AND PHOTONICS CONFERENCE, August 7-11, 2022, Recife, PE. <b>Proceedings...</b> Washington, DC, USA: Optica Publishing Group, 2022. DOI: <a href="https://dx.doi.org/10.1364/LAOP.2022.M4B.5">10.1364/LAOP.2022.M4B.5</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/33712.http://repositorio.ipen.br/handle/123456789/33712FTIR spectroscopy imaging in addition to deep learning is a potential tool for breast cancer subtype classification, where accuracies higher than 86% can be achieved to predict among all subtypes.openAccessBreast cancer subtype classification using a one-dimensional convolutional neural network in hyperspectral imagesTexto completo de evento10.1364/LAOP.2022.M4B.50000-0001-7404-96060000-0002-0029-7313https://orcid.org/0000-0002-0029-7313https://orcid.org/0000-0001-7404-9606