Medical images are used extensively in oncology to diagnose and plan treatment, but what if images contain hidden information not visible to the naked eye? What if this information makes a difference in how cancer is treated? In this lecture we introduce radiomics, a novel method that extracts features from medical images in order to predict disease outcome, recurrence, progression and response to therapy in the context of cancer.
About the speaker
Dr Concetta Piazzese is a Senior Lecturer at the University of Huddersfield with extensive experience in medical image processing and algorithm development. Her research focuses on developing and validating new medical image processing techniques to be applied within oncological clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy.
This presentation was filmed on the 11th March 2022 in recognition of International Women's Day. At the time of filming, all details included in the recording were factually correct
