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

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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Bibliographic Details
Main Authors: Rock Christian Tomas, Anthony Jay Sayat, Andrea Nicole Atienza, Jannah Lianne Danganan, Ma. Rollene Ramos, Allan Fellizar, Kin Israel Notarte, Lara Mae Angeles, Ruth Bangaoil, Abegail Santillan, Pia Marie Albano
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791515/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791515/?tool=EBI

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