This week I had the opportunity to give two lectures at the IFAMP Image-Guided Radio-/Nuclide Therapy online course. As someone who started studying physics with the intent of becoming a high-school teacher, teaching is something that was always within me.
In April this year, Xikai Tang, one of our fellows, published a paper on deep learning in liver segmentation. The algorithm that he developed is a big step towards clinical implementation of deep learning methods in patients with liver tumours.
In June 2020, Nicolò Capobianco published the results of his collaboration with the HYBRID team in Orsay, France in the Journal of Nuclear Medicine. In the article he describes how artificial intelligence can be used to help doctors evaluate the severity of lymphoma in PET/CT images.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764458.
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