In this work we present a novel approach based on tensor-valued diffusion encoding to quantify tumor tissue characteristics such as cell shape and cell density variation — features considered in histopathology. This approach constitutes a promising framework for non-invasive diagnostic and prognostic assessment of tumors that may improve patient care by non-invasively capturing histopathological information on cell shape and cell density heterogenity.
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