Spectroscopic Detection of Cervical Pre-Cancer Through Radial Basis Function Networks
Abstract
The mortality related to cervical cancer can be substantially re(cid:173) duced through early detection and treatment. However, cur(cid:173) rent detection techniques, such as Pap smear and colposcopy, fail to achieve a concurrently high sensitivity and specificity. In vivo fluorescence spectroscopy is a technique which quickly, non(cid:173) invasively and quantitatively probes the biochemical and morpho(cid:173) logical changes that occur in pre-cancerous tissue. RBF ensemble algorithms based on such spectra provide automated, and near real(cid:173) time implementation of pre-cancer detection in the hands of non(cid:173) experts. The results are more reliable, direct and accurate than those achieved by either human experts or multivariate statistical algorithms.
Cite
Text
Tumer et al. "Spectroscopic Detection of Cervical Pre-Cancer Through Radial Basis Function Networks." Neural Information Processing Systems, 1996.Markdown
[Tumer et al. "Spectroscopic Detection of Cervical Pre-Cancer Through Radial Basis Function Networks." Neural Information Processing Systems, 1996.](https://mlanthology.org/neurips/1996/tumer1996neurips-spectroscopic/)BibTeX
@inproceedings{tumer1996neurips-spectroscopic,
title = {{Spectroscopic Detection of Cervical Pre-Cancer Through Radial Basis Function Networks}},
author = {Tumer, Kagan and Ramanujam, Nirmala and Richards-Kortum, Rebecca R. and Ghosh, Joydeep},
booktitle = {Neural Information Processing Systems},
year = {1996},
pages = {981-987},
url = {https://mlanthology.org/neurips/1996/tumer1996neurips-spectroscopic/}
}