Ivan Zhovannik (Department of Radiation Oncology) was awarded the best presenter award at the MISP 2019 (Medical Imaging Symposium for PhD candidates) held in Groningen.Ivan Zhovannik presented his work on Radiomics. Radiomics is a method to automatically let algorithms extract data from (medical) images. This can help in for instance predicting the prognosis for a specific patient based on tumor characteristics derived from the images. The quality of the image however, for instance the signal to noise, adds bias to these radiomics measurements. These bias effects hamper the application of this technique since it makes building prediction models on large patient cohorts difficult, and adds extra uncertainty to the prediction made by the model. Ivan studies this effect and possible ways to correct for the bias.For the presentation of this work at the MISP 2019 in Groningen he received the Best Presenter Award.
Ivan Zhovannik is member of theme Rare cancers.
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