Article

Tumor Characterization using Unsupervised Learning of Mathematical Relations within Breast Cancer Data

2020-06-09

Abstract excerpt

Despite the variety of imaging, genetic and histopathological data used to assess tumors, there is still an unmet need for patient-specific tumor growth profile extraction and tumor volume prediction, for use in surgery planning. Models of tumor growth predict tumor size and require tumor biology-dependent parametrization, which hardly generalizes to cope with tumor variability among patients. In addition, the dat...

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Literature Corpus work: 07f79083-edd5-5f2c-8e43-b4f99264b464
DOI: 10.1101/2020.06.08.140723

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