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.
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