"Variably Scaled Kernels Improve Classification of Hormonally-Treated ..."

Francesco Marchetti et al. (2020)

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DOI: 10.1109/EAIS48028.2020.9122767

access: closed

type: Conference or Workshop Paper

metadata version: 2024-10-06

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Francesco Marchetti, Fabio De Martino, Marie Shamseddin, Stefano De Marchi, Cathrin Brisken:
Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts. EAIS 2020: 1-6

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