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Proceedings Paper

Optical diagnosis of cervical cancer by higher order spectra and boosting
Author(s): Sawon Pratiher; Sabyasachi Mukhopadhyay; Ritwik Barman; Souvik Pratiher; Asima Pradhan; Nirmalya Ghosh; Prasanta K. Panigrahi
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Paper Abstract

In this contribution, we report the application of higher order statistical moments using decision tree and ensemble based learning methodology for the development of diagnostic algorithms for optical diagnosis of cancer. The classification results were compared to those obtained with an independent feature extractors like linear discriminant analysis (LDA). The performance and efficacy of these methodology using higher order statistics as a classifier using boosting has higher specificity and sensitivity while being much faster as compared to other time-frequency domain based methods.

Paper Details

Date Published: 24 March 2017
PDF: 6 pages
Proc. SPIE 10063, Dynamics and Fluctuations in Biomedical Photonics XIV, 100630W (24 March 2017); doi: 10.1117/12.2251237
Show Author Affiliations
Sawon Pratiher, Indian Institute of Technology Kanpur (India)
Sabyasachi Mukhopadhyay, Indian Institute of Science Education and Research Kolkata (India)
Ritwik Barman, Indian Institute of Science Education and Research Kolkata (India)
Souvik Pratiher, KIIT Univ. (India)
Asima Pradhan, Indian Institute of Technology Kanpur (India)
Nirmalya Ghosh, Indian Institute of Science Education and Research Kolkata (India)
Prasanta K. Panigrahi, Indian Institute of Science Education and Research Kolkata (India)


Published in SPIE Proceedings Vol. 10063:
Dynamics and Fluctuations in Biomedical Photonics XIV
Valery V. Tuchin; Kirill V. Larin; Martin J. Leahy; Ruikang K. Wang, Editor(s)

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