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Conferences > FiO > 2021 > JW7A > JW7A.10

Detecting Breast Tumor by Photoacoustic Spectroscopy Integrated Machine Learning: A Comparison of Statistical and Algorithm Based Features

Jackson Rodrigues, Ashwini Amin, Subhash Chandra, G Subramanya Nayak, Satadru Ray, K Satyamoorthy, and K K Mahato.

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Abstract

We compared the performance of feature selection over feature extraction on wavelet packet decomposed photoacoustic spectra belonging to control and different time-points of breast tumor progression ex vivo, in machine learning based classification. Comments and questions should be directed to the OSA Conference Papers staff.

© 2021 The Author(s)

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