Publications [#195309] of Nimmi Ramanujam

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1. Tumer, K. and Ramanujam, N. and Richards-Kortum, R. and Ghosh, J., Spectroscopic detection of cervical pre-cancer through radial basis function networks, Advances in Neural Information Processing Systems 9. Proceedings of the 1996 Conference (1997), pp. 981 - 7, Denver, CO, USA
   (last updated on 2011/09/23)

   Abstract:
   The mortality related to cervical cancer can be substantially reduced through early detection and treatment. However, current 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, noninvasively and quantitatively probes the biochemical and morphological changes that occur in pre-cancerous tissue. RBF ensemble algorithms based on such spectra provide automated, and near real-time implementation of pre-cancer detection in the hands of nonexperts. The results are more reliable, direct and accurate than those achieved by either human experts or multivariate statistical algorithms

   Keywords:
   feedforward neural nets;fluorescence spectroscopy;medical expert systems;patient diagnosis;real-time systems;