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Non-invasive early diagnosis and evolution prediction of abdominal cancer using AI

Non-invasive early diagnosis and evolution prediction of abdominal cancer using AI

This project, a collaboration with the company Sycai Medical, will focus on the development of novel image processing methods for abdominal cancer detection in medical images. Based on deep learning algorithms, aspects such as uncertainty modelling and interpretability will be thoroughly considered and explicitly taken into account in the methodology.

Principal researchers

Miguel A. González Ballester

This project is funded through the "Proyectos de Colaboración Público-Privada" call of the Agencia Española de Investigación.