Detection of breast cancer by ATR-FTIR spectroscopy using artificial neural networks

In this study, three (3) neural networks (NN) were designed to discriminate between malignant (n = 78) and benign (n = 88) breast tumors using their respective attenuated total reflection Fourier transform infrared (ATR-FTIR) spectral data. A proposed NN-based sensitivity analysis was performed to d...

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Detalles Bibliográficos
Autores principales: Tomas, Rock Christian, Sayat, Anthony Jay, Atienza, Andrea Nicole, Danganan, Jannah Lianne, Ramos, Ma. Rollene, Fellizar, Allan, Notarte, Kin Israel, Angeles, Lara Mae, Bangaoil, Ruth, Santillan, Abegail, Albano, Pia Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791515/
https://www.ncbi.nlm.nih.gov/pubmed/35081148
http://dx.doi.org/10.1371/journal.pone.0262489

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791515/
https://www.ncbi.nlm.nih.gov/pubmed/35081148
http://dx.doi.org/10.1371/journal.pone.0262489

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