Application of Neural Style Transfer methods for synthetic mammogram generation

Posted on by Alessandra

07/11/2024

Application of Neural Style Transfer methods for synthetic mammogram generation

A poster contribution was presented by PhD student Martina Oria (INRiM, Italy) at the Mathematics for our Health (M4H) Workshop, held at Politecnico di Milano (Italy), on 7–8 November 2024 (https://www.mate.polimi.it/events/M4H24/).

The presented work deals with the quantitative evaluation of the performance of two neural style transfer methods applied to mammographic images, by means of properly designed metrics and classification models.

Authors: Martina Oria1,2, Riccardo Ferrero1, and Alessandra Manzin1

  1. Istituto Nazionale di Ricerca Metrologica (INRiM), Torino, Italy
  2. Politecnico di Torino, Torino, Italy

Poster

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The project 22HLT05 MAIBAI, started in September 2023, has received funding from the European Partnership on Metrology, co-financed from the European Union’s Horizon Europe Research and Innovation Programme and by the Participating States. Funding for the UK partners is provided by Innovate UK under the Horizon Europe Guarantee Extension.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or EURAMET. Neither the European Union nor the granting authority can be held responsible for them.

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