Machine learning enabled classification of cancerous tissues using polarized speckle images

Priya Krishnamurthy; Mahima Sharma B.S.; Sujatha Narayanan Unni; Subalakshmi Balasubramanian; Sandhya Sundaram

doi:10.1117/12.2670037

11 May 2023 Machine learning enabled classification of cancerous tissues using polarized speckle images

Priya Krishnamurthy, Mahima Sharma B.S., Sujatha Narayanan Unni, Subalakshmi Balasubramanian, Sandhya Sundaram

Proceedings Volume 12638, Women in Optics and Photonics in India 2022; 126380S (2023) https://doi.org/10.1117/12.2670037
Event: Women in Optics and Photonics in India, 2022, Bangalore, India

Abstract

Cancer formation in breast tissue is associated with desmoplastic changes in the extracellular matrix, also accompanied by neoplastic growth. These changes alter the orientation, size, and density of cellular structures within the tissues. Features extracted from the polarized speckle images of the sample give us insights into these structural changes and can be used for diagnosis of cancer. An attempt is made to incorporate machine learning algorithms in understanding these features to classify normal versus cancerous tissues paving way for automated diagnostic procedures.

Citation Download Citation

Priya Krishnamurthy, Mahima Sharma B.S., Sujatha Narayanan Unni, Subalakshmi Balasubramanian, and Sandhya Sundaram "Machine learning enabled classification of cancerous tissues using polarized speckle images", Proc. SPIE 12638, Women in Optics and Photonics in India 2022, 126380S (11 May 2023); https://doi.org/10.1117/12.2670037

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